Company
SPRING oversees the digital presence of Axel Springer's German media brands. SPRING along with Axel Springer's editorial teams trying to make journalism accessible for everyone while simultaneously pushing digital business models based on close user relationships. We are responsible for over 60 products from more than 25 brands, among them are two of Europe's most widely circulated media publications, WELT and BILD.
We are looking for passionate and creative people who want to take an active part in shaping the future of journalism within the context of digital media. Are you open to trying new things? Are you confident, driven and clever? Then apply for a role now with SPRING Axel Springer Digital News Media GmbH & Co. KG.
At SPRING, innovation is at the core of our ethos, we endeavour to invest in new technologies as much as we can, our culture also encourages our employees to seek out novel solutions for challenging problems.
Your challenge
You implement projects for group-wide data marketing
You develop commercial models and products to apply the database to one of the leading data technologies
You support setting up a data-marketing process including reporting
You are a role-model and contact-person for new applicants and carry out analysis on new data
You are in contact with many stakeholders by being an interface to cross-disciplinary departments such as legal, marketing and brands
In a digital media environment you conduct market and competitors research
you help by creating presentations that are used by internal boards to take decisions
Your profile
You have an outstanding degree in economics, business informatics, media management or in a comparable study program
Digital business models, technologies and value chains are of great interest to you
You can show first work experiences in online marketing, consulting, project management or business development
A high affinity for numbers, strong analytical skills and a data-driven approach distinguish you
You are committed, implementation-oriented and work independently
Your English skills and your knowledge of MS Office (especially Excel, Power Point) are very good
What we offer at SPRING
The chance of boosting your personal development with seminars, workshops, various conferences and talks
Regular exchange and networking with subsidiaries of the Axel Springer Group (eg. Awin, idealo, Bonial, Stepstone, Immowelt and many more)
Flexible working hours
An above average number of vacation days
A free lunch in our on-site restaurant every day
A MacBook, which can also be used privately
A two-year position with the chance of becoming unlimited in a modern office in the heart of Berlin
Contact
Questions regarding this position (reference number 044400342) will be answered gladly by: Alice Cardi; telephone: 015165266681.
Zusatzinformationen
SPRING Axel Springer Digital News Media GmbH & Co. KG emphasizes equal opportunities. We welcome the applications of people with disabilities, whose integration is an important matter to us.
You can find further information about Axel Springer's Representative for Disabled Persons as well as contact details here.
Vorschau Link
Für eine Vorschau klicken Sie bitte [%job_number%]044400342" target="_blank">hier
17/02/2020
Full time
Company
SPRING oversees the digital presence of Axel Springer's German media brands. SPRING along with Axel Springer's editorial teams trying to make journalism accessible for everyone while simultaneously pushing digital business models based on close user relationships. We are responsible for over 60 products from more than 25 brands, among them are two of Europe's most widely circulated media publications, WELT and BILD.
We are looking for passionate and creative people who want to take an active part in shaping the future of journalism within the context of digital media. Are you open to trying new things? Are you confident, driven and clever? Then apply for a role now with SPRING Axel Springer Digital News Media GmbH & Co. KG.
At SPRING, innovation is at the core of our ethos, we endeavour to invest in new technologies as much as we can, our culture also encourages our employees to seek out novel solutions for challenging problems.
Your challenge
You implement projects for group-wide data marketing
You develop commercial models and products to apply the database to one of the leading data technologies
You support setting up a data-marketing process including reporting
You are a role-model and contact-person for new applicants and carry out analysis on new data
You are in contact with many stakeholders by being an interface to cross-disciplinary departments such as legal, marketing and brands
In a digital media environment you conduct market and competitors research
you help by creating presentations that are used by internal boards to take decisions
Your profile
You have an outstanding degree in economics, business informatics, media management or in a comparable study program
Digital business models, technologies and value chains are of great interest to you
You can show first work experiences in online marketing, consulting, project management or business development
A high affinity for numbers, strong analytical skills and a data-driven approach distinguish you
You are committed, implementation-oriented and work independently
Your English skills and your knowledge of MS Office (especially Excel, Power Point) are very good
What we offer at SPRING
The chance of boosting your personal development with seminars, workshops, various conferences and talks
Regular exchange and networking with subsidiaries of the Axel Springer Group (eg. Awin, idealo, Bonial, Stepstone, Immowelt and many more)
Flexible working hours
An above average number of vacation days
A free lunch in our on-site restaurant every day
A MacBook, which can also be used privately
A two-year position with the chance of becoming unlimited in a modern office in the heart of Berlin
Contact
Questions regarding this position (reference number 044400342) will be answered gladly by: Alice Cardi; telephone: 015165266681.
Zusatzinformationen
SPRING Axel Springer Digital News Media GmbH & Co. KG emphasizes equal opportunities. We welcome the applications of people with disabilities, whose integration is an important matter to us.
You can find further information about Axel Springer's Representative for Disabled Persons as well as contact details here.
Vorschau Link
Für eine Vorschau klicken Sie bitte [%job_number%]044400342" target="_blank">hier
MILES is your urban life companion, showing you hidden treasures and the coolest spots - everything that makes the city worth living. MILES is carsharing for everyone who wants more in life than living it by the minute. Driving with no time pressure, no limits and no specific vehicle types or car brands. Our passion for the new and unexplored drives us in our vision to make urban life better. \#milesnotminutes For our team in Berlin we are looking for a Data Engineer f/m/x These will be your tasks
Extend and improve the current BI- infrastructure
Transforming large sets of different data sources into a data warehouse
Building data visualization products to scale data access across the company
Building predictive analytics (e.g. Optimizing our Fleet) in production, in collaboration with our data analysts
Responsibility for our data infrastructure and choosing the right tools
You're offering these qualifications
3+ year experience in Business Intelligence, Data Engineering, Software Engineering
Proven interest in data and algorithms and in-depth knowledge of Python, SQL
Experience with data workflow orchestrators (Airflow, Luigi or similar)
Solid experience working with databases (z.B. PostgreSQL, Bigquery etc.) und cloud-computing-infrastructures (AWS, Azure etc.)
Experience working in an agile software development process
Proactive and self-driven personality
Fluent in English
Nice to have
Basic understanding of mathematics/statistics and machine learning
Experience using Tableau
Fluent in German
We're offering these benefits
Be part of a high-growth company with an established business model
You'll have a high impact with us: We always listen to you and give you the necessary space to bring in and implement your creative ideas
Flat hierarchies? Then you've come to the right place! In addition, you can learn from our smart colleagues and develop professionally
MILES mood = feel good ;) Cool and modern office with modern equipment, joint team lunches and events, drink flat rate, muesli and for the daily ration of sugar, of course also something sweet
"Just using public transportation" was yesterday: with us you'll get a monthly contingent of MILES Credits for free rides
Carsharing with lots of ! At MILES, part of our turnover is invested in regional and social projects, as we are actively committed to the welfare of our society and the environment #milescharity
Does the job description sound good to you? Do not hesitate to submit your application. We are looking forward to hearing from you! : )
17/02/2020
Full time
MILES is your urban life companion, showing you hidden treasures and the coolest spots - everything that makes the city worth living. MILES is carsharing for everyone who wants more in life than living it by the minute. Driving with no time pressure, no limits and no specific vehicle types or car brands. Our passion for the new and unexplored drives us in our vision to make urban life better. \#milesnotminutes For our team in Berlin we are looking for a Data Engineer f/m/x These will be your tasks
Extend and improve the current BI- infrastructure
Transforming large sets of different data sources into a data warehouse
Building data visualization products to scale data access across the company
Building predictive analytics (e.g. Optimizing our Fleet) in production, in collaboration with our data analysts
Responsibility for our data infrastructure and choosing the right tools
You're offering these qualifications
3+ year experience in Business Intelligence, Data Engineering, Software Engineering
Proven interest in data and algorithms and in-depth knowledge of Python, SQL
Experience with data workflow orchestrators (Airflow, Luigi or similar)
Solid experience working with databases (z.B. PostgreSQL, Bigquery etc.) und cloud-computing-infrastructures (AWS, Azure etc.)
Experience working in an agile software development process
Proactive and self-driven personality
Fluent in English
Nice to have
Basic understanding of mathematics/statistics and machine learning
Experience using Tableau
Fluent in German
We're offering these benefits
Be part of a high-growth company with an established business model
You'll have a high impact with us: We always listen to you and give you the necessary space to bring in and implement your creative ideas
Flat hierarchies? Then you've come to the right place! In addition, you can learn from our smart colleagues and develop professionally
MILES mood = feel good ;) Cool and modern office with modern equipment, joint team lunches and events, drink flat rate, muesli and for the daily ration of sugar, of course also something sweet
"Just using public transportation" was yesterday: with us you'll get a monthly contingent of MILES Credits for free rides
Carsharing with lots of ! At MILES, part of our turnover is invested in regional and social projects, as we are actively committed to the welfare of our society and the environment #milescharity
Does the job description sound good to you? Do not hesitate to submit your application. We are looking forward to hearing from you! : )
Senior Data Engineer Berlin
This company is among the top 20 best career opportunities for data professionals. They strive themselves on their solutions and always being ahead of the game with state-of-the-art technologies. They went through a stage of hypergrowth in 2019 and have no plans to stop.
Through closely monitoring operational key performance indicators, using data-driven insights, and maintaining a mass network of partners, they quickly became internationally known delivery company.
Be part of the business intelligence team to support all operations and assist in high level decision making for brands globally. Work towards achieving your data goals through support and work that will help you reach them while working with huge amounts of data and fresh, innovative technologies.
Tasks:
Design, implement and extend enterprise data warehouses
Model and build new solutions for growing out the business
ETL processing pipelines for batch and real-time data
Develop and maintain machine learning workflows
Extract data from various databases (Google Analytics (BigQuery), Google AdWords, Adjust, Postgres, MySQL)
Have an input on how new architecture or technologies can improve the data platform
Skills (4 years min. experience):
Highly skilled in SQL, AWS Redshift, Linux
Experience in distributed job schedulers (Airflow) and Cloud data architectures (AWS)
Great knowledge of Python or Java
Min. a bachelor’s degree in a quantitative subject
This company offers:
A state-of-the-art office in the heart of Berlin
Flexible working hours
Great career opportunities for achieving your goals
Pension scheme and stability in an established company
Option to take German classes
An education budget to expand your expertise or learn new things
19/02/2020
Full time
Senior Data Engineer Berlin
This company is among the top 20 best career opportunities for data professionals. They strive themselves on their solutions and always being ahead of the game with state-of-the-art technologies. They went through a stage of hypergrowth in 2019 and have no plans to stop.
Through closely monitoring operational key performance indicators, using data-driven insights, and maintaining a mass network of partners, they quickly became internationally known delivery company.
Be part of the business intelligence team to support all operations and assist in high level decision making for brands globally. Work towards achieving your data goals through support and work that will help you reach them while working with huge amounts of data and fresh, innovative technologies.
Tasks:
Design, implement and extend enterprise data warehouses
Model and build new solutions for growing out the business
ETL processing pipelines for batch and real-time data
Develop and maintain machine learning workflows
Extract data from various databases (Google Analytics (BigQuery), Google AdWords, Adjust, Postgres, MySQL)
Have an input on how new architecture or technologies can improve the data platform
Skills (4 years min. experience):
Highly skilled in SQL, AWS Redshift, Linux
Experience in distributed job schedulers (Airflow) and Cloud data architectures (AWS)
Great knowledge of Python or Java
Min. a bachelor’s degree in a quantitative subject
This company offers:
A state-of-the-art office in the heart of Berlin
Flexible working hours
Great career opportunities for achieving your goals
Pension scheme and stability in an established company
Option to take German classes
An education budget to expand your expertise or learn new things
Movinga is recognised as an innovator within the logistics industry, pioneering successful new digital business models, that puts the customer at the center of what we do. Within this dynamic, customer-centric organisation reacting to a fast-moving digital environment, the Strategy & Insights team plays a pivotal role in driving the success of Movinga, helping to shape all areas of our business.
This is a unique opportunity for someone passionate about solving problems to advance a career within data/analytics. Over the past 5 years, the team has established itself as an independent source of truth and strategic advice for the whole business.
We are looking for a motivated and high-achieving Data Scientist to join our team, the individual will be responsible for helping to design, develop, and debug our current machine learning models.
You will apply machine learning algorithms to develop new models as well as enhance existing one, taking solutions all the way from concept to production, truly driving business growth.
The role is a Part-Time role.
What attributes will you need:
Demonstrable experience delivering and deploying a machine learning-based feature.
Understanding of all the stages of developing machine learning-based systems: labeling data, selecting algorithms, training, model development, visualization, updates, debugging.
Mastery of Python and at least one other programming language
Experience of applying data science techniques within a commercial environment
Ability to manipulate large volumes of data and extract insights
A commercially minded individual - ability to understand the commercial imperatives behind the data needs
Strong collaboration and communication skills - you’ll be just as comfortable talking to a data engineer as you would be to the CEO
Experience working with or understanding marketing /Tech/ commercial/ finance teams
A creative / lateral thinking problem solver- understanding when a hack will do and how to deliver 80% value ahead of a fully perfect solution
Qualifications
University degree attainment in Mathematics / Management / Business / Computer Science / Statistics / Economics / or similar numerate discipline
2+ years of experience in developing machine learning models, advanced analysis and statistics
Fluent in English
19/02/2020
Full time
Movinga is recognised as an innovator within the logistics industry, pioneering successful new digital business models, that puts the customer at the center of what we do. Within this dynamic, customer-centric organisation reacting to a fast-moving digital environment, the Strategy & Insights team plays a pivotal role in driving the success of Movinga, helping to shape all areas of our business.
This is a unique opportunity for someone passionate about solving problems to advance a career within data/analytics. Over the past 5 years, the team has established itself as an independent source of truth and strategic advice for the whole business.
We are looking for a motivated and high-achieving Data Scientist to join our team, the individual will be responsible for helping to design, develop, and debug our current machine learning models.
You will apply machine learning algorithms to develop new models as well as enhance existing one, taking solutions all the way from concept to production, truly driving business growth.
The role is a Part-Time role.
What attributes will you need:
Demonstrable experience delivering and deploying a machine learning-based feature.
Understanding of all the stages of developing machine learning-based systems: labeling data, selecting algorithms, training, model development, visualization, updates, debugging.
Mastery of Python and at least one other programming language
Experience of applying data science techniques within a commercial environment
Ability to manipulate large volumes of data and extract insights
A commercially minded individual - ability to understand the commercial imperatives behind the data needs
Strong collaboration and communication skills - you’ll be just as comfortable talking to a data engineer as you would be to the CEO
Experience working with or understanding marketing /Tech/ commercial/ finance teams
A creative / lateral thinking problem solver- understanding when a hack will do and how to deliver 80% value ahead of a fully perfect solution
Qualifications
University degree attainment in Mathematics / Management / Business / Computer Science / Statistics / Economics / or similar numerate discipline
2+ years of experience in developing machine learning models, advanced analysis and statistics
Fluent in English
Für unseren Standort Berlin suchen wir:
(Junior) Data Engineer (m/w/d)
Das erwartet dich bei uns
Du bist Teil eines Teams, das die Schritte von Data Warehousing zu Datenprodukten unter Verwendung von Echtzeit-Datenpipelines, APIs von Drittanbietern und Microservices zur Unterstützung von Machine Learning Algorithmen sowie anderer Abteilungen auf ihrem Weg zu #LivingData
Als Teil der zentralen BI-Abteilung von Flaconi, die aus unseren Teams für Data Engineering, Analytics und Data Science besteht, nimmst du Herausforderungen in allen Geschäftsbereichen von Flaconi an und arbeitest auch funktionsübergreifend mit Software Engineers und DevOps zusammen
Du pflegst und verbesserst unsere schnell wachsende Data-Warehouse-Architektur (derzeit auf Python, Docker, Pentaho Data Integration, Exasol, Data Vault aufgebaut)
Im Einzelnen baust du Datenpipelines, entwirfst Datenmodelle und unterstützt uns bei der Suche nach skalierbaren technischen Lösungen, während du gleichzeitig sicherstellst, dass unsere Datenqualitätsstandards eingehalten werden
Du wirst in einem Team arbeiten, das auf Transparenz, Zusammenarbeit und die Entwicklung von Fähigkeiten zur Bewältigung technischer Herausforderungen Wert legt
Das bringst du mit
Erfolgreicher Abschluss in Informatik, Statistik mit Bezug zur Programmierung oder einem ähnlichen Fach
Erfahrung im Data Engineering, idealerweise in einer analytischen Umgebung
Sehr gute SQL-Kenntnisse und gute Kenntnisse in (mindestens) einer Programmiersprache (idealerweise Python)
Erste Erfahrungen mit ETL-Tools (wie SSIS, Talend, PDI)
Jede Erfahrung mit Cloud-Diensten wie AWS Lambda, ECS, API-Gateway ist ein Pluspunkt
Fließend in Englisch
Sehr fokussierte und analytische Arbeitsmethode
Bereit, unbekannte Probleme auf kreative Weise anzugehen
Das bieten wir dir
Unsere Mitarbeiter sind uns wichtig: Wir stellen dich unbefristet in Festanstellung ein
Entspannt zum und am Arbeitsplatz: Wir übernehmen die Kosten für dein BVG-Ticket und feiern deine Individualität, daher gibt es keinen Dresscode bei uns
Mitarbeiterrabatte: Flaconis profitieren von großzügigen Mitarbeiterrabatten und weiteren Vergünstigungen bei Partnerunternehmen
Work-Life-Balance: Flexible Arbeitszeiten und Home-Office-Optionen ermöglichen es dir, dein berufliches und privates Leben besser zu koordinieren
Erholung und Entspannung: Wir bieten dir 29 Tage Urlaub und die Möglichkeit eines bezahlten Sabbaticals
Family First: Unsere Notfall-Mamas sind in Ausnahmesituationen für dich da und betreuen dein Kind vor Ort im Office
Flaconi Fitness: Wir kümmern uns um deine Gesundheit. Durch ein breites Sportangebot ermöglichen wir dir, dich fit zu halten
Flaconi Academy: Gestalte deinen eigenen Karriereweg aktiv mit und nutze unsere internen und externen Weiterbildungsangebote
Dog Policy: Hunde sind in unserem Office herzlich willkommen
Flaconis wissen, wie man feiert: Du kannst dich auf coole Teamevents und Firmenpartys freuen
Agiles Arbeiten: Als Teil unseres cross-functional Teams hast du die Möglichkeit, abteilungsübergreifende Themen mitzugestalten und voranzutreiben
Freiraum für Innovation: Du kannst an unseren regelmäßig stattfindenden Hackathons deinen Ideen freien Lauf lassen und dir bei Tech-Talks und Breakfast-Lectures Inspiration für dein Daily-Business holen
Gemeinsam an morgen denken: Flaconi bezuschusst deinen Sparbeitrag zur betrieblichen Altersvorsorge mit zusätzlichen 20%
Willkommen an Bord: Nicht nur unser Onboarding-Tag hilft dir dabei, dich in der ersten Zeit zu orientieren, sondern auch dein persönlicher Buddy
Essen & Trinken: Extras wie kostenlose Getränke und Obst sind bei uns selbstverständlich
Gestalte unseren Erfolg entscheidend mit und bewirb dich hier online! Wir freuen uns auf deine vollständigen Bewerbungsunterlagen inklusive frühestmöglichen Starttermin. Bitte richte deine Bewerbung an Lea Krumland (Recruiter). Flaconi gehört zu den führenden Online Beauty Pure Playern in Deutschland. Das umfassende Portfolio von flaconi.de besteht aus über 720 internationalen Marken und 45.000 Produkten aus den Bereichen Parfum, Pflege, Make-up, Haarpflege, Naturkosmetik und Accessoires. Flaconi wurde 2011 gegründet und beschäftigt an seinem Hauptsitz in Berlin-Charlottenburg und in seinem Logistikzentrum sowie dem Flaconi Concept Store in Berlin Mitte über 450 Mitarbeiter. Der Onlineshop wurde mit zahlreichen Awards ausgezeichnet und ist in Deutschland, Österreich und Polen vertreten. Die ProSiebenSat.1 Group ist eines der größten unabhängigen Medienhäuser in Europa. Mit unseren sieben Free-TV-Sendern sind wir die Nummer 1 in Deutschland, sowohl im TV-Werbemarkt als auch bei den Zuschauern. Wir haben unser Unternehmen in den letzten Jahren konsequent diversifiziert und zusätzliche Erlösquellen geschaffen. Zur Gruppe gehören unser klassisches und digitales Entertainment-Geschäft, unser Programmproduktions- und Vertriebsgeschäft sowie das Commerce-Portfolio der NuCom Group. Hauptsitz von ProSiebenSat.1 ist Unterföhring bei München. Das Unternehmen wurde im Oktober 2000 gegründet und beschäftigt heute weltweit rund 7.000 Mitarbeiter. Ausschließlich aus Gründen der besseren Lesbarkeit wird nur die männliche Form verwendet. Selbstverständlich sind immer alle Geschlechter angesprochen.
19/02/2020
Full time
Für unseren Standort Berlin suchen wir:
(Junior) Data Engineer (m/w/d)
Das erwartet dich bei uns
Du bist Teil eines Teams, das die Schritte von Data Warehousing zu Datenprodukten unter Verwendung von Echtzeit-Datenpipelines, APIs von Drittanbietern und Microservices zur Unterstützung von Machine Learning Algorithmen sowie anderer Abteilungen auf ihrem Weg zu #LivingData
Als Teil der zentralen BI-Abteilung von Flaconi, die aus unseren Teams für Data Engineering, Analytics und Data Science besteht, nimmst du Herausforderungen in allen Geschäftsbereichen von Flaconi an und arbeitest auch funktionsübergreifend mit Software Engineers und DevOps zusammen
Du pflegst und verbesserst unsere schnell wachsende Data-Warehouse-Architektur (derzeit auf Python, Docker, Pentaho Data Integration, Exasol, Data Vault aufgebaut)
Im Einzelnen baust du Datenpipelines, entwirfst Datenmodelle und unterstützt uns bei der Suche nach skalierbaren technischen Lösungen, während du gleichzeitig sicherstellst, dass unsere Datenqualitätsstandards eingehalten werden
Du wirst in einem Team arbeiten, das auf Transparenz, Zusammenarbeit und die Entwicklung von Fähigkeiten zur Bewältigung technischer Herausforderungen Wert legt
Das bringst du mit
Erfolgreicher Abschluss in Informatik, Statistik mit Bezug zur Programmierung oder einem ähnlichen Fach
Erfahrung im Data Engineering, idealerweise in einer analytischen Umgebung
Sehr gute SQL-Kenntnisse und gute Kenntnisse in (mindestens) einer Programmiersprache (idealerweise Python)
Erste Erfahrungen mit ETL-Tools (wie SSIS, Talend, PDI)
Jede Erfahrung mit Cloud-Diensten wie AWS Lambda, ECS, API-Gateway ist ein Pluspunkt
Fließend in Englisch
Sehr fokussierte und analytische Arbeitsmethode
Bereit, unbekannte Probleme auf kreative Weise anzugehen
Das bieten wir dir
Unsere Mitarbeiter sind uns wichtig: Wir stellen dich unbefristet in Festanstellung ein
Entspannt zum und am Arbeitsplatz: Wir übernehmen die Kosten für dein BVG-Ticket und feiern deine Individualität, daher gibt es keinen Dresscode bei uns
Mitarbeiterrabatte: Flaconis profitieren von großzügigen Mitarbeiterrabatten und weiteren Vergünstigungen bei Partnerunternehmen
Work-Life-Balance: Flexible Arbeitszeiten und Home-Office-Optionen ermöglichen es dir, dein berufliches und privates Leben besser zu koordinieren
Erholung und Entspannung: Wir bieten dir 29 Tage Urlaub und die Möglichkeit eines bezahlten Sabbaticals
Family First: Unsere Notfall-Mamas sind in Ausnahmesituationen für dich da und betreuen dein Kind vor Ort im Office
Flaconi Fitness: Wir kümmern uns um deine Gesundheit. Durch ein breites Sportangebot ermöglichen wir dir, dich fit zu halten
Flaconi Academy: Gestalte deinen eigenen Karriereweg aktiv mit und nutze unsere internen und externen Weiterbildungsangebote
Dog Policy: Hunde sind in unserem Office herzlich willkommen
Flaconis wissen, wie man feiert: Du kannst dich auf coole Teamevents und Firmenpartys freuen
Agiles Arbeiten: Als Teil unseres cross-functional Teams hast du die Möglichkeit, abteilungsübergreifende Themen mitzugestalten und voranzutreiben
Freiraum für Innovation: Du kannst an unseren regelmäßig stattfindenden Hackathons deinen Ideen freien Lauf lassen und dir bei Tech-Talks und Breakfast-Lectures Inspiration für dein Daily-Business holen
Gemeinsam an morgen denken: Flaconi bezuschusst deinen Sparbeitrag zur betrieblichen Altersvorsorge mit zusätzlichen 20%
Willkommen an Bord: Nicht nur unser Onboarding-Tag hilft dir dabei, dich in der ersten Zeit zu orientieren, sondern auch dein persönlicher Buddy
Essen & Trinken: Extras wie kostenlose Getränke und Obst sind bei uns selbstverständlich
Gestalte unseren Erfolg entscheidend mit und bewirb dich hier online! Wir freuen uns auf deine vollständigen Bewerbungsunterlagen inklusive frühestmöglichen Starttermin. Bitte richte deine Bewerbung an Lea Krumland (Recruiter). Flaconi gehört zu den führenden Online Beauty Pure Playern in Deutschland. Das umfassende Portfolio von flaconi.de besteht aus über 720 internationalen Marken und 45.000 Produkten aus den Bereichen Parfum, Pflege, Make-up, Haarpflege, Naturkosmetik und Accessoires. Flaconi wurde 2011 gegründet und beschäftigt an seinem Hauptsitz in Berlin-Charlottenburg und in seinem Logistikzentrum sowie dem Flaconi Concept Store in Berlin Mitte über 450 Mitarbeiter. Der Onlineshop wurde mit zahlreichen Awards ausgezeichnet und ist in Deutschland, Österreich und Polen vertreten. Die ProSiebenSat.1 Group ist eines der größten unabhängigen Medienhäuser in Europa. Mit unseren sieben Free-TV-Sendern sind wir die Nummer 1 in Deutschland, sowohl im TV-Werbemarkt als auch bei den Zuschauern. Wir haben unser Unternehmen in den letzten Jahren konsequent diversifiziert und zusätzliche Erlösquellen geschaffen. Zur Gruppe gehören unser klassisches und digitales Entertainment-Geschäft, unser Programmproduktions- und Vertriebsgeschäft sowie das Commerce-Portfolio der NuCom Group. Hauptsitz von ProSiebenSat.1 ist Unterföhring bei München. Das Unternehmen wurde im Oktober 2000 gegründet und beschäftigt heute weltweit rund 7.000 Mitarbeiter. Ausschließlich aus Gründen der besseren Lesbarkeit wird nur die männliche Form verwendet. Selbstverständlich sind immer alle Geschlechter angesprochen.
Share your passion for data and coding and become part of our CodeCheck team as Data Engineer / Developer (100%) in Berlin.
Job Summary:
You will play a vital role at CodeCheck: As a member of the data science and IT team, you will be actively involved in building end-to-end solutions for CodeCheck Insights.
Essential Duties and Responsibilities:
Work in a cross functional team with data scientists, developers and under the lead of José Ordonez - our CTO as part of the CodeCheck Insights unit (Data Science + CMI)
Deploy production ready data pipelines in a machine learning context
Translate customer and business needs efficiently into end-to end technical solutions
Recommend and implement ways to improve data reliability, efficiency and quality
Ensure that the architecture supports the requirements of data science and IT, the stakeholder and business
Developing APIs and connectors
Be a valued contact person for all questions regarding data sets, coding and data analysis
Expand the foundation for a scalable data and analysis infrastructure that supports full functionality, continuous improvement and strategic decision-making
Qualifications and Strengths:
MBSc/MSc Computer Science or equivalent working experience
Design and implementation of different software architectures that fulfill performance and scalability requirements
Experience in handling microservices
Strong knowledge of Python and at least one of relational and non-relational DB
Drive to solving high-level challenges and curiosity to find new methods to solve it with a feeling of ownership
Ability to work independently and initiate activities, set priorities, manage multiple priorities and deliver results on-time
Comfortable in a fast moving, fluid start-up environment
Strategic thinker and problem-solver with the ability to transform goals into actionable plans
Nice extras: Elastic tech-stack knowledge, data science portfolio
Benefits:
Flexible arrangements for home-office and remote work
Competitive salary
Equipment of your choice
Smart, creative and highly engaged international team
Team events, summer and christmas parties, weekly yoga
A company with huge impact on how people make healthy and sustainable shopping decisions
If you think you are the perfect fit, please enter your application in our online recruitment platform (see the apply now button above this text).
19/02/2020
Full time
Share your passion for data and coding and become part of our CodeCheck team as Data Engineer / Developer (100%) in Berlin.
Job Summary:
You will play a vital role at CodeCheck: As a member of the data science and IT team, you will be actively involved in building end-to-end solutions for CodeCheck Insights.
Essential Duties and Responsibilities:
Work in a cross functional team with data scientists, developers and under the lead of José Ordonez - our CTO as part of the CodeCheck Insights unit (Data Science + CMI)
Deploy production ready data pipelines in a machine learning context
Translate customer and business needs efficiently into end-to end technical solutions
Recommend and implement ways to improve data reliability, efficiency and quality
Ensure that the architecture supports the requirements of data science and IT, the stakeholder and business
Developing APIs and connectors
Be a valued contact person for all questions regarding data sets, coding and data analysis
Expand the foundation for a scalable data and analysis infrastructure that supports full functionality, continuous improvement and strategic decision-making
Qualifications and Strengths:
MBSc/MSc Computer Science or equivalent working experience
Design and implementation of different software architectures that fulfill performance and scalability requirements
Experience in handling microservices
Strong knowledge of Python and at least one of relational and non-relational DB
Drive to solving high-level challenges and curiosity to find new methods to solve it with a feeling of ownership
Ability to work independently and initiate activities, set priorities, manage multiple priorities and deliver results on-time
Comfortable in a fast moving, fluid start-up environment
Strategic thinker and problem-solver with the ability to transform goals into actionable plans
Nice extras: Elastic tech-stack knowledge, data science portfolio
Benefits:
Flexible arrangements for home-office and remote work
Competitive salary
Equipment of your choice
Smart, creative and highly engaged international team
Team events, summer and christmas parties, weekly yoga
A company with huge impact on how people make healthy and sustainable shopping decisions
If you think you are the perfect fit, please enter your application in our online recruitment platform (see the apply now button above this text).
Who we are
We are an independent team of technical diverse engineers and analysts taking care of the data platform at FRIDAY. Our mission is to bring data & statistics to FRIDAY's products and processes which includes data ingestion, analysis and software development.
For instance, last year we developed an internal product that simulates the yearly renewal process in car insurance in order to help our pricing team to adjust premiums to the best for our customers. In this project, we are connecting a lot of different data sources, analyze data using statistical models and provide a simple user interface for our pricing team so they can run simulations on their own.
Your first task could include an extension of this product. You would work hand-in-hand with our data analysts in order to improve statistical models that were developed by them, add more data sources, improve the user interface and the overall - still PoC-ish - architecture.
Our Tech Stack
Python powers most of our microservices which are deployed to Kubernetes . We prefer quality over high output: All code is committed to Git . We use GitLab CI and manage our infrastructure in Terraform . Our services are running on AWS exclusively.
Data processing and business logic happen in SQL, Spark , workflow orchestration are done by Airflow .
Interested? If yes - we're looking forward to hearing from you!
18/02/2020
Full time
Who we are
We are an independent team of technical diverse engineers and analysts taking care of the data platform at FRIDAY. Our mission is to bring data & statistics to FRIDAY's products and processes which includes data ingestion, analysis and software development.
For instance, last year we developed an internal product that simulates the yearly renewal process in car insurance in order to help our pricing team to adjust premiums to the best for our customers. In this project, we are connecting a lot of different data sources, analyze data using statistical models and provide a simple user interface for our pricing team so they can run simulations on their own.
Your first task could include an extension of this product. You would work hand-in-hand with our data analysts in order to improve statistical models that were developed by them, add more data sources, improve the user interface and the overall - still PoC-ish - architecture.
Our Tech Stack
Python powers most of our microservices which are deployed to Kubernetes . We prefer quality over high output: All code is committed to Git . We use GitLab CI and manage our infrastructure in Terraform . Our services are running on AWS exclusively.
Data processing and business logic happen in SQL, Spark , workflow orchestration are done by Airflow .
Interested? If yes - we're looking forward to hearing from you!
At Quarters, our mission is to change the way we live and share our lives. Founded in Berlin in 2012 to respond to the demand for fully-furnished, ready to move into apartments, we are already the world's largest Co-Living provider. In addition to this, we are also enhancing our real-life community and physical buildings with a digital community focused app. Our diverse team forms the heart of our fast-paced start-up environment, where smart ideas and a hands-on attitude are encouraged. To help keep up with our increasing growth, we're looking for the most passionate people in their fields. We want you to have an immediate impact, take responsibility from day one, and help grow the global community of passionate people with us. Jump on board, join our team, and become part of the Co-Living revolution! Your key responsibilities -------------------------
Ability to create and maintain ETL routines (between source systems and target BI environment)
Understand and query disparate database sources, including relational structures, dimensional data models and cubes.
Design, build and deploy BI solutions (eg. Data pipelines, BI reports).
Help maintain code quality, organization, and automatization.
Identify bottlenecks and bugs, and devise solutions to these problems.
Test and configure BI reports and visualizations for development, testing and deployment.
Ensure the best possible performance, quality, and responsiveness of applications.
Work collaboratively in a small, cross-functional team.
Interface with and understand analytical reporting needs of business stakeholders.
Create report mock-ups and templates from business requirements
Develop and maintain reports, dashboards, and scorecards using Tableau.
Ability to effectively communicate (written and verbal) technical subject matter to non-technical business stakeholders.
You will be most successful if you fit this profile ---------------------------------------------------
Bachelor's Degree in Computer Science, Information Systems, or similar; related experience in lieu of education.
Ability to create database schemas that represent and support business processes.
2+ years of experience in data warehouse design (e.g. dimensional modeling) and data mining and data pipelines.
3+ years of experience with at least one major BI tool such as Tableau (preferred), Looker or Power BI.
In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework.
proficiency in Python and proven ability to write SQL queries.
Familiarity with continuous integration.
Intermediate understanding of fundamental design principles behind a scalable application.
Knowledge of ETL best practices and dimensional modeling.
Prior experience documenting BI requirements and developing reports based on user requirements.
What we offer you: ------------------
A flat hierarchy: open communication, and fireside chats with the CEO
Healthy work-life balance: positive working environment, home office options, a discounted membership to UrbanSportsClub, and complimentary access to the 7Minds meditation app
Personal development: language courses, a generous individual development budget, an exciting steep learning curve & boost for your career
Culture: summer & holiday parties, biweekly team drinks, biweekly Lunch & Learn, coffee, fruit, and much more
Sound like your perfect next adventure? Apply online, and we'll get back to you as soon as possible. We are looking forward to it! Want to get to know us even more? Check out our QUARTERS building in Chicago ( https://www.youtube.com/watch?v=WQeYlW7Fsio ) or read about our latest news for Europe ( https://www.bloomberg.com/news/articles/2018-12-12/co-living-firm-wins-1-1-billion-investment-for-europe-expansion ) and the US ( https://www.reuters.com/article/us-usa-property-mediciliving-investment-idUSKCN1P9306 ).
17/02/2020
Full time
At Quarters, our mission is to change the way we live and share our lives. Founded in Berlin in 2012 to respond to the demand for fully-furnished, ready to move into apartments, we are already the world's largest Co-Living provider. In addition to this, we are also enhancing our real-life community and physical buildings with a digital community focused app. Our diverse team forms the heart of our fast-paced start-up environment, where smart ideas and a hands-on attitude are encouraged. To help keep up with our increasing growth, we're looking for the most passionate people in their fields. We want you to have an immediate impact, take responsibility from day one, and help grow the global community of passionate people with us. Jump on board, join our team, and become part of the Co-Living revolution! Your key responsibilities -------------------------
Ability to create and maintain ETL routines (between source systems and target BI environment)
Understand and query disparate database sources, including relational structures, dimensional data models and cubes.
Design, build and deploy BI solutions (eg. Data pipelines, BI reports).
Help maintain code quality, organization, and automatization.
Identify bottlenecks and bugs, and devise solutions to these problems.
Test and configure BI reports and visualizations for development, testing and deployment.
Ensure the best possible performance, quality, and responsiveness of applications.
Work collaboratively in a small, cross-functional team.
Interface with and understand analytical reporting needs of business stakeholders.
Create report mock-ups and templates from business requirements
Develop and maintain reports, dashboards, and scorecards using Tableau.
Ability to effectively communicate (written and verbal) technical subject matter to non-technical business stakeholders.
You will be most successful if you fit this profile ---------------------------------------------------
Bachelor's Degree in Computer Science, Information Systems, or similar; related experience in lieu of education.
Ability to create database schemas that represent and support business processes.
2+ years of experience in data warehouse design (e.g. dimensional modeling) and data mining and data pipelines.
3+ years of experience with at least one major BI tool such as Tableau (preferred), Looker or Power BI.
In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework.
proficiency in Python and proven ability to write SQL queries.
Familiarity with continuous integration.
Intermediate understanding of fundamental design principles behind a scalable application.
Knowledge of ETL best practices and dimensional modeling.
Prior experience documenting BI requirements and developing reports based on user requirements.
What we offer you: ------------------
A flat hierarchy: open communication, and fireside chats with the CEO
Healthy work-life balance: positive working environment, home office options, a discounted membership to UrbanSportsClub, and complimentary access to the 7Minds meditation app
Personal development: language courses, a generous individual development budget, an exciting steep learning curve & boost for your career
Culture: summer & holiday parties, biweekly team drinks, biweekly Lunch & Learn, coffee, fruit, and much more
Sound like your perfect next adventure? Apply online, and we'll get back to you as soon as possible. We are looking forward to it! Want to get to know us even more? Check out our QUARTERS building in Chicago ( https://www.youtube.com/watch?v=WQeYlW7Fsio ) or read about our latest news for Europe ( https://www.bloomberg.com/news/articles/2018-12-12/co-living-firm-wins-1-1-billion-investment-for-europe-expansion ) and the US ( https://www.reuters.com/article/us-usa-property-mediciliving-investment-idUSKCN1P9306 ).
Founded in 2013 and headquartered in Berlin, Dalia harnesses the app economy and advanced data science to distribute millions of micro-surveys worldwide. we use this real-time data to gather and analyze consumer attitudes, public opinion and market trends. Backed by some of Europe's leading venture capital firms, Dalia has generated over a billion answers from people spread across +100 countries - with the resulting data cited in over 2,000 news articles globally. We are looking for a Data Analyst to lead the data generation and delivery process for Dalia's research projects with global corporations and civil society organizations. The journey that awaits you:
As a Data Analyst for Process and Automation, you will work cross-functionally supporting the data science, research and project management teams in turning raw data into insights that drive strategic business and product development decisions.
Fun monthly team events (like ziplining, escape rooms, cooking with refugees, spartan race, and more! ) and the good company of an eclectic, international team.
Grow your hard skills in data science, as part of a team that offers teaching & mentoring in multiple programming languages and software kits
Be the guardian of quality and clean data for global research projects in more than 100 countries that explore public opinion of billions of people, and turn the information into insights that generate headlines in 1.000+ news outlets
The opportunity to not only develop your programming skills but to grow as a person. At Dalia, you have a yearly education fund to spend on self-development such as learning German, going to conferences, or on personal coaching.
Your challenge:
Collaborate with the research, project management and data science teams to plan, monitor and tackle all aspects of the data generation and delivery process for Dalia's research projects with clients.
Take ownership and proactively identify opportunities to automate steps in the data generation and delivery process.
Get your hands dirty with data: transform, clean, and convert raw datasets into public opinion insights for client projects.
Your profile includes:
Data wrangling: experience in data extraction, transformation, and analysis using any statistical software package e.g Excel, SPSS, Python or R.
Experience in working with relational databases such as MySQL. NoSQL databases such as MongoDB are a plus.
Proven experience in working in a fast-paced project environment with tight deadlines
Strong communicator: you are able to communicate effectively and can adapt your communication style when working cross-functionally.
Focused on optimizing processes; always looking for ways to make our methodology more agile.
Dalia Research is committed to providing a respectful, safe, and welcoming environment for everyone who works here or with us, regardless of their gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).
17/02/2020
Full time
Founded in 2013 and headquartered in Berlin, Dalia harnesses the app economy and advanced data science to distribute millions of micro-surveys worldwide. we use this real-time data to gather and analyze consumer attitudes, public opinion and market trends. Backed by some of Europe's leading venture capital firms, Dalia has generated over a billion answers from people spread across +100 countries - with the resulting data cited in over 2,000 news articles globally. We are looking for a Data Analyst to lead the data generation and delivery process for Dalia's research projects with global corporations and civil society organizations. The journey that awaits you:
As a Data Analyst for Process and Automation, you will work cross-functionally supporting the data science, research and project management teams in turning raw data into insights that drive strategic business and product development decisions.
Fun monthly team events (like ziplining, escape rooms, cooking with refugees, spartan race, and more! ) and the good company of an eclectic, international team.
Grow your hard skills in data science, as part of a team that offers teaching & mentoring in multiple programming languages and software kits
Be the guardian of quality and clean data for global research projects in more than 100 countries that explore public opinion of billions of people, and turn the information into insights that generate headlines in 1.000+ news outlets
The opportunity to not only develop your programming skills but to grow as a person. At Dalia, you have a yearly education fund to spend on self-development such as learning German, going to conferences, or on personal coaching.
Your challenge:
Collaborate with the research, project management and data science teams to plan, monitor and tackle all aspects of the data generation and delivery process for Dalia's research projects with clients.
Take ownership and proactively identify opportunities to automate steps in the data generation and delivery process.
Get your hands dirty with data: transform, clean, and convert raw datasets into public opinion insights for client projects.
Your profile includes:
Data wrangling: experience in data extraction, transformation, and analysis using any statistical software package e.g Excel, SPSS, Python or R.
Experience in working with relational databases such as MySQL. NoSQL databases such as MongoDB are a plus.
Proven experience in working in a fast-paced project environment with tight deadlines
Strong communicator: you are able to communicate effectively and can adapt your communication style when working cross-functionally.
Focused on optimizing processes; always looking for ways to make our methodology more agile.
Dalia Research is committed to providing a respectful, safe, and welcoming environment for everyone who works here or with us, regardless of their gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).
Company Overview:
Our client is leading the charge as one of the hottest start ups to come out of Berlin with a focus on building a world class recommendation system.
Through our clients mobile and web application they have launched a new streaming search platform to access your favourite movies and TV series in a simplified way.
Lead a team of ML engineers and grow the ML Function, work closely with the CTO in a challenging environment with an open feedback culture and a strong focus on personal development
An ideal candidate has some of the following skills:
Advanced knowledge (4+ years) Python, Pytorch or Tensorflow.
Recommendation System Experience.
+3 Management Experience: Leading and developing teams.
Machine Learning/ Analysis tools: PySpark, MlLib, Numpy, Scikit, Pandas
Want to be apart of this company's continued success email conor@alldus.com
17/02/2020
Full time
Company Overview:
Our client is leading the charge as one of the hottest start ups to come out of Berlin with a focus on building a world class recommendation system.
Through our clients mobile and web application they have launched a new streaming search platform to access your favourite movies and TV series in a simplified way.
Lead a team of ML engineers and grow the ML Function, work closely with the CTO in a challenging environment with an open feedback culture and a strong focus on personal development
An ideal candidate has some of the following skills:
Advanced knowledge (4+ years) Python, Pytorch or Tensorflow.
Recommendation System Experience.
+3 Management Experience: Leading and developing teams.
Machine Learning/ Analysis tools: PySpark, MlLib, Numpy, Scikit, Pandas
Want to be apart of this company's continued success email conor@alldus.com
MYCS means creating furniture you love - exactly the way you want it! All our products are customisable via a photorealistic, real-time 3D customisation tool. With this tool, MYCS is not only revolutionising e-commerce but is also turning the furniture market upside-down. MYCS has been expanding rapidly since its launch in 2015. To further advance our mission "make customisation the new normal," we are looking for enthusiastic and passionate talents who are happy to take on responsibility. At MYCS everyone has the opportunity to realise their own ideas and really make an impact. Join our international team to shape the future of the furniture market! These will be your tasks
Working as part of our BI team to provide high-quality data
Maintaining infrastructure and ensuring smooth access to BI data services
Ensuring data consistency and reconciling different data sources
Developing and improving the current BI infrastructure
Driving a data-first mindset across the organisation
Providing ongoing support to stakeholders
Evaluating and reporting of business, product, and marketing decisions
You're offering these qualifications
Bachelor's degree or higher in computer science, engineering, natural sciences or another quantitative field
Effective communicator with the ability to explain complex concepts in plain language; good presentation skills are a plus
Fluent in a dialect of SQL (we use Redshift)
Experience using python/pandas to analyze data
Experience with design, implementation and maintenance of ETL processes
Experience working with cloud infrastructure (we use AWS)
Prior experience working programmatically with big data
Interested in applying statistical techniques to gain deeper insights from data
We're offering these benefits
Bachelor's degree or higher in computer science, engineering, natural sciences or another quantitative field
Effective communicator with the ability to explain complex concepts in plain language; good presentation skills are a plus
Fluent in a dialect of SQL (we use Redshift)
Experience using python/pandas to analyze data
Experience with design, implementation and maintenance of ETL processes
Experience working with cloud infrastructure (we use AWS)
Prior experience working programmatically with big data
Interested in applying statistical techniques to gain deeper insights from data
We're looking forward to receiving your application!
17/02/2020
Full time
MYCS means creating furniture you love - exactly the way you want it! All our products are customisable via a photorealistic, real-time 3D customisation tool. With this tool, MYCS is not only revolutionising e-commerce but is also turning the furniture market upside-down. MYCS has been expanding rapidly since its launch in 2015. To further advance our mission "make customisation the new normal," we are looking for enthusiastic and passionate talents who are happy to take on responsibility. At MYCS everyone has the opportunity to realise their own ideas and really make an impact. Join our international team to shape the future of the furniture market! These will be your tasks
Working as part of our BI team to provide high-quality data
Maintaining infrastructure and ensuring smooth access to BI data services
Ensuring data consistency and reconciling different data sources
Developing and improving the current BI infrastructure
Driving a data-first mindset across the organisation
Providing ongoing support to stakeholders
Evaluating and reporting of business, product, and marketing decisions
You're offering these qualifications
Bachelor's degree or higher in computer science, engineering, natural sciences or another quantitative field
Effective communicator with the ability to explain complex concepts in plain language; good presentation skills are a plus
Fluent in a dialect of SQL (we use Redshift)
Experience using python/pandas to analyze data
Experience with design, implementation and maintenance of ETL processes
Experience working with cloud infrastructure (we use AWS)
Prior experience working programmatically with big data
Interested in applying statistical techniques to gain deeper insights from data
We're offering these benefits
Bachelor's degree or higher in computer science, engineering, natural sciences or another quantitative field
Effective communicator with the ability to explain complex concepts in plain language; good presentation skills are a plus
Fluent in a dialect of SQL (we use Redshift)
Experience using python/pandas to analyze data
Experience with design, implementation and maintenance of ETL processes
Experience working with cloud infrastructure (we use AWS)
Prior experience working programmatically with big data
Interested in applying statistical techniques to gain deeper insights from data
We're looking forward to receiving your application!
Zentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland
Berlin, Germany
Das Zentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland (Zi), Stiftung des bürgerlichen Rechts, ist die gemeinsame wissenschaftliche Einrichtung der Kassenärztlichen Vereinigungen der Länder (KVen) und der Kassenärztlichen Bundesvereinigung (KBV). Das Zi führt Analysen zum Versorgungsgeschehen auf Basis bundesweiter Abrechnungsdaten aus den Bereichen Arzneiverordnung und vertragsärztliche Diagnosen und Versorgung sowie aus weiteren öffentlichen und nichtöffentlichen Datenquellen durch. Auf dieser Grundlage beraten die Kassenärztlichen Vereinigungen ihre Mitglieder oder verhandeln mit ihren Vertragspartnern.
Zur Unterstützung dieser Aufgaben suchen wir in Berlin für den Fachbereich „Data Science und Versorgungsanalysen“ baldmöglichst bis Ende 2021
Sozial- und Gesundheitswissenschaftler als Data Analyst (m/w/d) in Voll- oder Teilzeit
Ihre Aufgaben:
Sie erstellen Datenauswertungen für Fragestellungen der Versorgungsforschung unter Nutzung von Routinedaten. Sie arbeiten in einem interdisziplinären Kooperationsprojekt mit universitären Lehrstühlen, außeruniversitären Forschungsinstituten und Krankenkassen zu den Themenfeldern „Versorgung von Akut- und Notfällen“ und „Zuordnung von Patienten zu Fachabteilungen in Krankenhäusern“ . Sie erstellen wissenschaftliche Analysen und bereiten die Ergebnisse in Form von Berichten, Publikationen und Vorträgen auf. Sie tauschen sich mit den Kooperationspartnern aus und nehmen regelmäßig an Verbundtreffen teil.
Ihr Profil:
Sie haben ein Hochschulstudium in den Sozial- oder Gesundheitswissenschaften, Epidemiologie, Statistik oder einem verwandten Studienfach erfolgreich absolviert. Sie verfügen bereits über erste Erfahrungen mit empirisch-analytischen Publikationen zu medizinischen oder gesundheitswissenschaftlichen Themen in wissenschaftlichen Fachzeitschriften.
Sie verfügen über Kompetenzen im Umgang mit Statistikprogrammen und haben möglichst bereits erste Erfahrungen im Umgang mit relationalen Datenbanken gesammelt. Sie haben Interesse an Medizin, Public Health sowie der empirischen Erforschung von Versorgungsprozessen und der Inanspruchnahme von medizinischen Leistungen. Sie stellen Inhalte motiviert in zielgruppengerechter Form verständlich dar und arbeiten mit anderen Teammitgliedern bei der Entwicklung von Lösungen zusammen und unterstützen diese bei Problemen gerne mit Ihren Fähigkeiten. Unstimmigkeiten und Probleme sprechen Sie offen an und suchen konstruktiv nach Lösungen, die den Interessen aller Beteiligten gerecht werden.
Unser Angebot:
Ein motiviertes und diverses Team, wissenschaftliche Qualifikationsmöglichkeiten sowie attraktive Rahmenbedingungen zur Förderung der Vereinbarkeit von Beruf und Familie. Die Vergütung erfolgt nach fachlicher Qualifikation in Anlehnung an den TVöD. Wenn Sie das Zentralinstitut unterstützen wollen, bieten wir Ihnen ein äußerst interessantes Tätigkeitsgebiet in einem dynamischen Forschungsfeld und langfristige wissenschaftliche Aufgaben. Das Zi strebt einen frühestmöglichen Einstellungstermin an.
Interessiert? Dann freuen wir uns auf Ihre Bewerbung bis zum 5. März 2020 . Nutzen Sie dazu bitte unser Onlineformular auf www.zi.de . Geben Sie bitte neben Ihrem frühestmöglichen Eintrittstermin auch Ihre Gehaltsvorstellung an. Rückfragen zur ausgeschriebenen Stelle beantwortet Ihnen gerne Dr. Lars Eric Kroll (Fachbereichsleiter „Data Science und Versorgungsanalysen“).
Dr. Dominik Graf von Stillfried (Vorstandsvorsitzender) Zentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland
17/02/2020
Full time
Das Zentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland (Zi), Stiftung des bürgerlichen Rechts, ist die gemeinsame wissenschaftliche Einrichtung der Kassenärztlichen Vereinigungen der Länder (KVen) und der Kassenärztlichen Bundesvereinigung (KBV). Das Zi führt Analysen zum Versorgungsgeschehen auf Basis bundesweiter Abrechnungsdaten aus den Bereichen Arzneiverordnung und vertragsärztliche Diagnosen und Versorgung sowie aus weiteren öffentlichen und nichtöffentlichen Datenquellen durch. Auf dieser Grundlage beraten die Kassenärztlichen Vereinigungen ihre Mitglieder oder verhandeln mit ihren Vertragspartnern.
Zur Unterstützung dieser Aufgaben suchen wir in Berlin für den Fachbereich „Data Science und Versorgungsanalysen“ baldmöglichst bis Ende 2021
Sozial- und Gesundheitswissenschaftler als Data Analyst (m/w/d) in Voll- oder Teilzeit
Ihre Aufgaben:
Sie erstellen Datenauswertungen für Fragestellungen der Versorgungsforschung unter Nutzung von Routinedaten. Sie arbeiten in einem interdisziplinären Kooperationsprojekt mit universitären Lehrstühlen, außeruniversitären Forschungsinstituten und Krankenkassen zu den Themenfeldern „Versorgung von Akut- und Notfällen“ und „Zuordnung von Patienten zu Fachabteilungen in Krankenhäusern“ . Sie erstellen wissenschaftliche Analysen und bereiten die Ergebnisse in Form von Berichten, Publikationen und Vorträgen auf. Sie tauschen sich mit den Kooperationspartnern aus und nehmen regelmäßig an Verbundtreffen teil.
Ihr Profil:
Sie haben ein Hochschulstudium in den Sozial- oder Gesundheitswissenschaften, Epidemiologie, Statistik oder einem verwandten Studienfach erfolgreich absolviert. Sie verfügen bereits über erste Erfahrungen mit empirisch-analytischen Publikationen zu medizinischen oder gesundheitswissenschaftlichen Themen in wissenschaftlichen Fachzeitschriften.
Sie verfügen über Kompetenzen im Umgang mit Statistikprogrammen und haben möglichst bereits erste Erfahrungen im Umgang mit relationalen Datenbanken gesammelt. Sie haben Interesse an Medizin, Public Health sowie der empirischen Erforschung von Versorgungsprozessen und der Inanspruchnahme von medizinischen Leistungen. Sie stellen Inhalte motiviert in zielgruppengerechter Form verständlich dar und arbeiten mit anderen Teammitgliedern bei der Entwicklung von Lösungen zusammen und unterstützen diese bei Problemen gerne mit Ihren Fähigkeiten. Unstimmigkeiten und Probleme sprechen Sie offen an und suchen konstruktiv nach Lösungen, die den Interessen aller Beteiligten gerecht werden.
Unser Angebot:
Ein motiviertes und diverses Team, wissenschaftliche Qualifikationsmöglichkeiten sowie attraktive Rahmenbedingungen zur Förderung der Vereinbarkeit von Beruf und Familie. Die Vergütung erfolgt nach fachlicher Qualifikation in Anlehnung an den TVöD. Wenn Sie das Zentralinstitut unterstützen wollen, bieten wir Ihnen ein äußerst interessantes Tätigkeitsgebiet in einem dynamischen Forschungsfeld und langfristige wissenschaftliche Aufgaben. Das Zi strebt einen frühestmöglichen Einstellungstermin an.
Interessiert? Dann freuen wir uns auf Ihre Bewerbung bis zum 5. März 2020 . Nutzen Sie dazu bitte unser Onlineformular auf www.zi.de . Geben Sie bitte neben Ihrem frühestmöglichen Eintrittstermin auch Ihre Gehaltsvorstellung an. Rückfragen zur ausgeschriebenen Stelle beantwortet Ihnen gerne Dr. Lars Eric Kroll (Fachbereichsleiter „Data Science und Versorgungsanalysen“).
Dr. Dominik Graf von Stillfried (Vorstandsvorsitzender) Zentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland
Be part of the next big thing in travel and join Zizoo, the world’s leading boat holiday platform. Named one of Forbes’ top ‘Travel Tech Startups Taking Europe by Storm’, Zizoo is bringing boat holidays to the mass market, offering over 30,000 boat products across 500+ destinations worldwide. Zizoo’s unique business model and tech suite sets it apart from the competition by monopolising supply and demand while offering a seamless booking experience to the end customer. Backed by Europe's leading tech investors, Zizoo’s team is growing fast as we continue to transform the travel industry. Your Mission
Optimize data visualization
Maintain and build ETL pipelines
Create analysis based on specifications from stakeholders
Stakeholder management and consultation in any data related questions
Analyse data trends and elaboration of an understanding for development
Identify metrics, KPIs and any data needs to support various business units
Collaborate with data colleagues and product owners
You're qualifications:
5+ years in a Data Analyst position or similar
Expert with writing SQLs including query optimization
Building pipelines for new data sources and model them to the DWH
Solid Tableau experience
Data modelling knowledge, knows fact and dimension tables
Experience in marketing analytics such as Google Ads, Bing etc
Strong analytical and statistical analysis skills to extract insights and recommendations
Experience in Xplenty, Snowplow and Python is a plus
Fluent in English with strong communication skills (both written and verbal)
We're offering these benefits:
A transparent data-driven environment where good ideas flourish. Got a good idea? We’ll test it!
The possibility to experiment with new technology
Cross-company personal development and training budget
An opportunity to work in one of Europe's top trending startups
Team building events and a sailing holiday for the whole team
And, of course, boat holiday discounts!
We‘re looking forward to hearing from you! Please apply here
15/02/2020
Full time
Be part of the next big thing in travel and join Zizoo, the world’s leading boat holiday platform. Named one of Forbes’ top ‘Travel Tech Startups Taking Europe by Storm’, Zizoo is bringing boat holidays to the mass market, offering over 30,000 boat products across 500+ destinations worldwide. Zizoo’s unique business model and tech suite sets it apart from the competition by monopolising supply and demand while offering a seamless booking experience to the end customer. Backed by Europe's leading tech investors, Zizoo’s team is growing fast as we continue to transform the travel industry. Your Mission
Optimize data visualization
Maintain and build ETL pipelines
Create analysis based on specifications from stakeholders
Stakeholder management and consultation in any data related questions
Analyse data trends and elaboration of an understanding for development
Identify metrics, KPIs and any data needs to support various business units
Collaborate with data colleagues and product owners
You're qualifications:
5+ years in a Data Analyst position or similar
Expert with writing SQLs including query optimization
Building pipelines for new data sources and model them to the DWH
Solid Tableau experience
Data modelling knowledge, knows fact and dimension tables
Experience in marketing analytics such as Google Ads, Bing etc
Strong analytical and statistical analysis skills to extract insights and recommendations
Experience in Xplenty, Snowplow and Python is a plus
Fluent in English with strong communication skills (both written and verbal)
We're offering these benefits:
A transparent data-driven environment where good ideas flourish. Got a good idea? We’ll test it!
The possibility to experiment with new technology
Cross-company personal development and training budget
An opportunity to work in one of Europe's top trending startups
Team building events and a sailing holiday for the whole team
And, of course, boat holiday discounts!
We‘re looking forward to hearing from you! Please apply here
We are looking for ambitious, forward thinking self-starters to join our aspiring and international company, who can keep up with our pace and want to make a difference as a:
Business Intelligence Engineer (m/f/x) from now on Your responsibilities: We are seeking a full time Business Intelligence Engineer (m/f/x) whose primary responsibility will be to drive the development of our BI platform. The ideal candidate should have extensive hands on experience in building data warehouse solutions, automating reports and dashboards, as well as strong analysis and communication skills.
Things You Will Work On:
Developing and implementing concepts to measure the success of our products and features
Providing on-demand analyses for different stakeholders to drive key business decisions
Deriving insights from customer feedback and usage data to provide input for new product developments
Handling all Business Intelligence tasks, including the analysis of complex sales/business related data
Developing dashboards and descriptive analytics solutions
Taking care of data integration and database management
What we offer:
A modern equipped workplace in a new designer loft with retreat lounges
A dynamic and international team that is always ready to go the extra mile
A company in hyper-growth mode
Exceptional career opportunities and project responsibilities
The opportunity to influence the development of our platform and products
Flat hierarchies , short decision paths and the possibility to contribute own ideas
High level responsibility and opportunities for personal development
A chance to be part of a growing company, directly influencing its success & shaping its future
Regular team events and a wide range of sport activities, a fridge full of beer and non-alcoholic beverages
Competitive, skill-dependent, negotiable salary – don’t hesitate to approach us
Your profile:
3+ years of relevant work experience in analytics and business intelligence
Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
Python knowledge for automation of processes and connecting new data sources
Experience gathering business requirements, using industry standard business
Intelligence tools to extract data, formulate metrics and build reports
Proficiency using and maintaining Google Analytics and Google Tag Manager
Very good mathematical understanding and statistical skills
Profound experience using SQL, ETL and databases in a business environment with complex datasets
Experience with data visualisation using Tableau or similar tools
Familiar with different data modelling approaches (star, normalised, data vault)
About us:
Travelcircus (www.travelcircus.de) is a fast growing online booking platform giving people the ability to book premium, quality checked and unique hotels packaged with hotel services and exciting local activities at an exclusive price. Founded in 2014, in the heart of Berlin, Travelcircus already accommodated more than 700.000 travelers from 20 different countries and we continue to grow substantially.
Do you still have questions or do you want to apply immediately?
Can you recognize yourself? If yes, send your application including motivation letter, CV, desired salary and next possible entry date addressed to Margarida Pfaumann via our online application form: https://www.travelcircus.de/jobs. Don´t miss the chance to be part of the Travelcircus team very soon.Contact:Margarida Pfaumann (Head of HR)margarida.pfaumann@travelcircus.de+49 (0) 30 220 560 877We explicitly declare that we welcome any person regardless of nationality or ethnic origin, religion or belief, disability, age or sexual identity.We are looking forward to getting to know you!
15/02/2020
Full time
We are looking for ambitious, forward thinking self-starters to join our aspiring and international company, who can keep up with our pace and want to make a difference as a:
Business Intelligence Engineer (m/f/x) from now on Your responsibilities: We are seeking a full time Business Intelligence Engineer (m/f/x) whose primary responsibility will be to drive the development of our BI platform. The ideal candidate should have extensive hands on experience in building data warehouse solutions, automating reports and dashboards, as well as strong analysis and communication skills.
Things You Will Work On:
Developing and implementing concepts to measure the success of our products and features
Providing on-demand analyses for different stakeholders to drive key business decisions
Deriving insights from customer feedback and usage data to provide input for new product developments
Handling all Business Intelligence tasks, including the analysis of complex sales/business related data
Developing dashboards and descriptive analytics solutions
Taking care of data integration and database management
What we offer:
A modern equipped workplace in a new designer loft with retreat lounges
A dynamic and international team that is always ready to go the extra mile
A company in hyper-growth mode
Exceptional career opportunities and project responsibilities
The opportunity to influence the development of our platform and products
Flat hierarchies , short decision paths and the possibility to contribute own ideas
High level responsibility and opportunities for personal development
A chance to be part of a growing company, directly influencing its success & shaping its future
Regular team events and a wide range of sport activities, a fridge full of beer and non-alcoholic beverages
Competitive, skill-dependent, negotiable salary – don’t hesitate to approach us
Your profile:
3+ years of relevant work experience in analytics and business intelligence
Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
Python knowledge for automation of processes and connecting new data sources
Experience gathering business requirements, using industry standard business
Intelligence tools to extract data, formulate metrics and build reports
Proficiency using and maintaining Google Analytics and Google Tag Manager
Very good mathematical understanding and statistical skills
Profound experience using SQL, ETL and databases in a business environment with complex datasets
Experience with data visualisation using Tableau or similar tools
Familiar with different data modelling approaches (star, normalised, data vault)
About us:
Travelcircus (www.travelcircus.de) is a fast growing online booking platform giving people the ability to book premium, quality checked and unique hotels packaged with hotel services and exciting local activities at an exclusive price. Founded in 2014, in the heart of Berlin, Travelcircus already accommodated more than 700.000 travelers from 20 different countries and we continue to grow substantially.
Do you still have questions or do you want to apply immediately?
Can you recognize yourself? If yes, send your application including motivation letter, CV, desired salary and next possible entry date addressed to Margarida Pfaumann via our online application form: https://www.travelcircus.de/jobs. Don´t miss the chance to be part of the Travelcircus team very soon.Contact:Margarida Pfaumann (Head of HR)margarida.pfaumann@travelcircus.de+49 (0) 30 220 560 877We explicitly declare that we welcome any person regardless of nationality or ethnic origin, religion or belief, disability, age or sexual identity.We are looking forward to getting to know you!
The Company:
Our client are Global Leaders in online food ordering. They are looking for a Business Intelligence Analyst who is enthusiastic, talented and passionate to join their team. They offer a challenging and dynamic working environment where you can grow and develop your career with the right support. You will be working in a modern office in the heart of Berlin, with flexible working hours in a mulitcutural work space.
Your Responsibilities:
Develop accessible, creative and engaging data visualization to facilitate access to insight
Create new data analyses based detailed specifications from stakeholders
Engaging with key stakeholders and give actionable insights
Analyse trends in data and provide insights and explanations to local teams
Identify and define future insight to data that needs support to different business units
Work with other data analysts, data engineers and product owners
Experience Required:
2 years’ experience minimum
Experience with SQL
Experience with version control systems (e.g Github)
Experience with big data tools (e.g Redshift or BigQuery)
Tableau experience is a plus
Email graham@alldus.com for more details
15/02/2020
Full time
The Company:
Our client are Global Leaders in online food ordering. They are looking for a Business Intelligence Analyst who is enthusiastic, talented and passionate to join their team. They offer a challenging and dynamic working environment where you can grow and develop your career with the right support. You will be working in a modern office in the heart of Berlin, with flexible working hours in a mulitcutural work space.
Your Responsibilities:
Develop accessible, creative and engaging data visualization to facilitate access to insight
Create new data analyses based detailed specifications from stakeholders
Engaging with key stakeholders and give actionable insights
Analyse trends in data and provide insights and explanations to local teams
Identify and define future insight to data that needs support to different business units
Work with other data analysts, data engineers and product owners
Experience Required:
2 years’ experience minimum
Experience with SQL
Experience with version control systems (e.g Github)
Experience with big data tools (e.g Redshift or BigQuery)
Tableau experience is a plus
Email graham@alldus.com for more details
Senior Machine Learning Engineer
Location: Berlin
Industry: Food Delivery
Salary: up to €73,000
Opportunity for a Machine Learning Engineer to join a company and help them to build a Machine Learning Lab team that is being built from scratch.
After checking the data of every team, the conclusion has found out that the quality of data is the restriction from making this happen.
Now they have created a Big Data Lake. The plan is for the Data Lake to function like IBM’s Watsons and be the all in one place for data gathering and processing. Next steps after this? introduce microservices to the Data Lake.
The overall goal of the machine learning lab is to help the company become a Data Driven organisation like Netflix.
Day to Day tasks:
Build applications, libraries, and services to help deliver delightful data-powered experiences to our customers.
Build end-to-end ETL pipelines to enable training and running of machine learning models on structured and semi-structured data.
Optimize the reliability, efficiency and agility of machine learning, computational, and data processing pipelines.
Tech Stack used in the lab:
Programming Languages: Python (Primary), Java, Scala
Cloud Stack: AWS, Google
Databases: SQL, NoSQL, Hadoop, Spark, Cassandra, MongoDB, Redshift
Machine Learning/ Analysis tools: PySpark, MlLib, Numpy, Scikit, Pandas
ETL/ Cloud tools: Kinesis, Glue, DataPrep, DataFlow
DevOps/ Microservices Tools: Docker, Mesos, Kubernetes, Lambda, Cloud Functions, APIGateway, ECS/EKS
Cloud Tools: CloudFormation, Terraform, Travis, CloudWatch, X-Ray, StackDriver
If you would like to find out more information about this opportunity, please email me back on Anthony@Alldus.com
Join the Alldus AI in Action Berlin Meetup: https://www.meetup.com/AI-in-Action-Berlin/
Listen into the Alldus AI in Action Podcast: https://alldus.com/blog/podcasts/
15/02/2020
Full time
Senior Machine Learning Engineer
Location: Berlin
Industry: Food Delivery
Salary: up to €73,000
Opportunity for a Machine Learning Engineer to join a company and help them to build a Machine Learning Lab team that is being built from scratch.
After checking the data of every team, the conclusion has found out that the quality of data is the restriction from making this happen.
Now they have created a Big Data Lake. The plan is for the Data Lake to function like IBM’s Watsons and be the all in one place for data gathering and processing. Next steps after this? introduce microservices to the Data Lake.
The overall goal of the machine learning lab is to help the company become a Data Driven organisation like Netflix.
Day to Day tasks:
Build applications, libraries, and services to help deliver delightful data-powered experiences to our customers.
Build end-to-end ETL pipelines to enable training and running of machine learning models on structured and semi-structured data.
Optimize the reliability, efficiency and agility of machine learning, computational, and data processing pipelines.
Tech Stack used in the lab:
Programming Languages: Python (Primary), Java, Scala
Cloud Stack: AWS, Google
Databases: SQL, NoSQL, Hadoop, Spark, Cassandra, MongoDB, Redshift
Machine Learning/ Analysis tools: PySpark, MlLib, Numpy, Scikit, Pandas
ETL/ Cloud tools: Kinesis, Glue, DataPrep, DataFlow
DevOps/ Microservices Tools: Docker, Mesos, Kubernetes, Lambda, Cloud Functions, APIGateway, ECS/EKS
Cloud Tools: CloudFormation, Terraform, Travis, CloudWatch, X-Ray, StackDriver
If you would like to find out more information about this opportunity, please email me back on Anthony@Alldus.com
Join the Alldus AI in Action Berlin Meetup: https://www.meetup.com/AI-in-Action-Berlin/
Listen into the Alldus AI in Action Podcast: https://alldus.com/blog/podcasts/
Data Engineer Berlin
This position is with a small, specialist data-focused entity of a renowned German company with a Europe wide presence. Acting independently with freedom to innovate and create new data products and solutions, they aim to drive change for their customers through data using creativity and openness.
The company is led by technology enthusiasts, investing in the most up to date tech stacks. They have 2 streams of business;
1. Providing data solutions to an enviable portfolio of established clients
2. Working on their own in-house developed optimisation tool and deploying in client environments
Data Engineers have the unique opportunity, if this is the path an engineer is interested in taking, to work directly with and advise Board level clients at some of the top German and International organisations.
This is not a role that requires considerable travel and the role can develop around the individual’s strengths and desires.
Tasks:
Designing, developing and maintaining scalable data infrastructure
Integrating against external API, databases and reporting platform
Optimizing performance of algorithms
Spread the spirit of data development through data ownership
High quality coding – Python and R are prevalent
Shape the technical infrastructure, testing, and monitoring
Implement production level data analytics scripts
Experience in (min. 2 years each):
An agile environment
Monitoring and automated testing of software
Python or R
MongoDB or Elasticsearch
Connecting with external RESTful APIs
Understanding of statistical modelling (regression analysis and probability theory)
What makes this company special?
They focus on people and individual circumstances. Roles and careers can be managed around personal needs.
They support individuality and promote a casual, adaptable environment
Work on the latest tools and technologies in projects you’ll be proud of
15/02/2020
Full time
Data Engineer Berlin
This position is with a small, specialist data-focused entity of a renowned German company with a Europe wide presence. Acting independently with freedom to innovate and create new data products and solutions, they aim to drive change for their customers through data using creativity and openness.
The company is led by technology enthusiasts, investing in the most up to date tech stacks. They have 2 streams of business;
1. Providing data solutions to an enviable portfolio of established clients
2. Working on their own in-house developed optimisation tool and deploying in client environments
Data Engineers have the unique opportunity, if this is the path an engineer is interested in taking, to work directly with and advise Board level clients at some of the top German and International organisations.
This is not a role that requires considerable travel and the role can develop around the individual’s strengths and desires.
Tasks:
Designing, developing and maintaining scalable data infrastructure
Integrating against external API, databases and reporting platform
Optimizing performance of algorithms
Spread the spirit of data development through data ownership
High quality coding – Python and R are prevalent
Shape the technical infrastructure, testing, and monitoring
Implement production level data analytics scripts
Experience in (min. 2 years each):
An agile environment
Monitoring and automated testing of software
Python or R
MongoDB or Elasticsearch
Connecting with external RESTful APIs
Understanding of statistical modelling (regression analysis and probability theory)
What makes this company special?
They focus on people and individual circumstances. Roles and careers can be managed around personal needs.
They support individuality and promote a casual, adaptable environment
Work on the latest tools and technologies in projects you’ll be proud of
Business Intelligence Developer/Data Engineer (Berlin)
For an innovative FinTech player we are currently looking for a Data Engineer to strengthen their team in Berlin (Germany). The company has one of the best cloud based payment management systems, which helps their clients to make easier and better decisions and is revolutionising the world of corporate payments. They have been awarded as one of the 100 German Growth Champions and due to their collaborative environment, you'll have the chance to influence their way of working, take full responsibility for the product and tackle interesting challenges from a technical standpoint.
Responsibilities
Take over full responsibility for the product
Design, build and integrate data from various sources
Create high-performance data processing solutions
Determine and resolve performance issues
Maintain and engineer data pipelines and ETL scripts to run analytical workloads
Determine and resolve performance issues
Profile
Understanding of complete data analytics stack and workflow (from ETL to BI and analytic tools)
Experience with
QlikView and/or Qlik Sense
Software development (Python, JavaScript, Java, Groovy)
SQL language
Software engineering (pair programming, testing, clean code)
Common Business Intelligence and data analytic tools
Scrum
Salary Competitive package tailored to experience and significant growth potential
Interested? If you’re interested in the above description, please apply with your CV by clicking on the “apply” button!
If you want to get in touch directly with the Senior IT/Product Payments Consultant responsible for this opportunity, reach out to Borja González Hernández at +31 617451273 or by e-mail at borja@paymentgenes.com
About us As a traditional payments-consultancy firm, PaymentGenes is founded by Key Executives from Adyen, Braintree, Global Collect & Paysafe. We help dozens of payment companies in the UK, Europe as well as USA and APAC with realizing growth through multiple channels, including strategic resourcing. We engage at a strategic level, we provide holistic advice across the business on product alignment, acquiring, scheme rules and go-to- market planning. Our experience spans across the world which gives us a unique understanding of the complexities of each different market and a broader view of the global payment industry .
KEYWORDS Data Engineer, Cliq, Business Intelligence Developer, SQL, Data Processing, Performance Analysis, Scrum, BI, Analytics, Data
15/02/2020
Full time
Business Intelligence Developer/Data Engineer (Berlin)
For an innovative FinTech player we are currently looking for a Data Engineer to strengthen their team in Berlin (Germany). The company has one of the best cloud based payment management systems, which helps their clients to make easier and better decisions and is revolutionising the world of corporate payments. They have been awarded as one of the 100 German Growth Champions and due to their collaborative environment, you'll have the chance to influence their way of working, take full responsibility for the product and tackle interesting challenges from a technical standpoint.
Responsibilities
Take over full responsibility for the product
Design, build and integrate data from various sources
Create high-performance data processing solutions
Determine and resolve performance issues
Maintain and engineer data pipelines and ETL scripts to run analytical workloads
Determine and resolve performance issues
Profile
Understanding of complete data analytics stack and workflow (from ETL to BI and analytic tools)
Experience with
QlikView and/or Qlik Sense
Software development (Python, JavaScript, Java, Groovy)
SQL language
Software engineering (pair programming, testing, clean code)
Common Business Intelligence and data analytic tools
Scrum
Salary Competitive package tailored to experience and significant growth potential
Interested? If you’re interested in the above description, please apply with your CV by clicking on the “apply” button!
If you want to get in touch directly with the Senior IT/Product Payments Consultant responsible for this opportunity, reach out to Borja González Hernández at +31 617451273 or by e-mail at borja@paymentgenes.com
About us As a traditional payments-consultancy firm, PaymentGenes is founded by Key Executives from Adyen, Braintree, Global Collect & Paysafe. We help dozens of payment companies in the UK, Europe as well as USA and APAC with realizing growth through multiple channels, including strategic resourcing. We engage at a strategic level, we provide holistic advice across the business on product alignment, acquiring, scheme rules and go-to- market planning. Our experience spans across the world which gives us a unique understanding of the complexities of each different market and a broader view of the global payment industry .
KEYWORDS Data Engineer, Cliq, Business Intelligence Developer, SQL, Data Processing, Performance Analysis, Scrum, BI, Analytics, Data
Sparks42 delivers cutting-edge eCommerce and mobile solutions. Our mission is to build Next Generation E-Commerce solutions with a focus on challenging fields such as user experience, recommendations, machine learning, Big Data. Executing and providing agile solutions for content discovery belongs to our core competences. We pride ourselves in being always first to implement and successfully deploy new technologies. Developing innovative E-Commerce and Mobile Commerce technologies with global reach is our passion.
We are now looking for a tech geek who will grow with our well renowned Engineering Team as a Data Engineer (m/f).
WHAT YOU WILL DO:
Gain a deep understanding of our business model, data processing and DWH infrastructure
Implement data pipelines and infrastructure for platforms
Design ETL processes, refine (real-time) DWH architectures, build APIs, reports and visualizations
Maintain, optimize and extend our data operations and specifically our warehouse infrastructure using various data processing technologies like MPP databases, distributed processing frameworks, stream processing frameworks
Understand and communicate effectively with internal business customers, partners, and stakeholders
WHAT WE ASK FOR:
You are an expert with minimum 3 years experience in large scale data processing systems, preferably based on open-source systems
Solid software development skills in Java. Python/Scala and Unix shell scripting skills will be a big plus
A passion for designing and operating reliable infrastructure
Experience/Expertise in distributed (real-time) processing frameworks (Spark, Hadoop, Presto, Storm, Flink, Heron etc.), infrastructure frameworks (Docker, Mesos, Kubernetes, AWS) is a strong plus
Ability to communicate effectively with diverse teams
English language fluency
WHAT WE CAN OFFER:
An incredibly talented team of bright, international individuals, always ready to learn, discover and implement
A startup environment with the room to grow on a personal and professional level
A centrally located office in Berlin Mitte
To be part of a fearless pioneer company, in the relentless pursuit of new technological breakthroughs
The opportunity to collaborate with smart and passionate people in building awesome e-commerce products
Challenging global projects. Competitive salary. Exceptional experiences.
13/02/2020
Full time
Sparks42 delivers cutting-edge eCommerce and mobile solutions. Our mission is to build Next Generation E-Commerce solutions with a focus on challenging fields such as user experience, recommendations, machine learning, Big Data. Executing and providing agile solutions for content discovery belongs to our core competences. We pride ourselves in being always first to implement and successfully deploy new technologies. Developing innovative E-Commerce and Mobile Commerce technologies with global reach is our passion.
We are now looking for a tech geek who will grow with our well renowned Engineering Team as a Data Engineer (m/f).
WHAT YOU WILL DO:
Gain a deep understanding of our business model, data processing and DWH infrastructure
Implement data pipelines and infrastructure for platforms
Design ETL processes, refine (real-time) DWH architectures, build APIs, reports and visualizations
Maintain, optimize and extend our data operations and specifically our warehouse infrastructure using various data processing technologies like MPP databases, distributed processing frameworks, stream processing frameworks
Understand and communicate effectively with internal business customers, partners, and stakeholders
WHAT WE ASK FOR:
You are an expert with minimum 3 years experience in large scale data processing systems, preferably based on open-source systems
Solid software development skills in Java. Python/Scala and Unix shell scripting skills will be a big plus
A passion for designing and operating reliable infrastructure
Experience/Expertise in distributed (real-time) processing frameworks (Spark, Hadoop, Presto, Storm, Flink, Heron etc.), infrastructure frameworks (Docker, Mesos, Kubernetes, AWS) is a strong plus
Ability to communicate effectively with diverse teams
English language fluency
WHAT WE CAN OFFER:
An incredibly talented team of bright, international individuals, always ready to learn, discover and implement
A startup environment with the room to grow on a personal and professional level
A centrally located office in Berlin Mitte
To be part of a fearless pioneer company, in the relentless pursuit of new technological breakthroughs
The opportunity to collaborate with smart and passionate people in building awesome e-commerce products
Challenging global projects. Competitive salary. Exceptional experiences.
Teraki is a Berlin based tech driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world. Teraki provides data reduction and data processing solutions for Automotive (IoT) applications and enables the launch of new applications by reducing hardware footprint, latency and costs. We help our customers on the challenges that are posed by the exploding amounts of data in connected vehicles for all sensor, video and 3D mapping data. In this role, you will contribute to the design and implementation of our backend system serving millions of cars, being highly efficient and easy to maintain. You will closely work with other Backend developers, DevOps Engineers, Software Engineers and Data Engineers. Your responsibilities
Design and implement a scalable, low-latency, fault tolerant distributed streaming system to ingest and process data from millions of cars.
Support Backend team to build scalable and future-proof micro-services to support the streaming use case and to run Machine Learning training and inferencing jobs.
Assess and evaluate technologies and tools to identify those fulfilling best our requirements and needs.
Work closely with our Software-, DevOps- and Data-Engineers to continuously implement and improve features, following an agile and test-driven approach.
You and your team have the ownership over the entire software development lifecycle from planning to coding, testing and maintenance.
Who we are looking for
Background in Computer Science, Software Engineering or related.
5+ years of professional experience developing software of which 3+ years in building modern streaming services at scale.
You have proven and solid experience in building systems leveraging a distributed streaming processing engine such as Spark, Flink, Apex, Faust or others.
You have 2+ years of Python programming experience. We appreciate knowledge of languages used by popular streaming processing engine (i.e. Scala and Java).
You have significant experience in designing, scaling, debugging, and optimizing microservice based and event-driven systems. We appreciate knowledge of REST Python Frameworks such as Flask, aiohttp, fastapi.
You are experienced with agile development methodologies and tools such as git, Jira and Confluence. You appreciate the importance of testing, software validation and clean code.
You have some basic knowledge in Continuous Integration and Continuous Deployment
It’s a plus if you have some knowledge in PostgreSQL, Django, Dask, Docker or Kubernetes.
“Can do” and above all “want to do” attitude.
Motivated fast learner and problem solver who can work in a team as well as independently.
What we offer
A unique opportunity to actively contribute to future mobility challenges.
To increase your know-how in state-of-the-art technologies: Data Analytics, Machine Learning and Embedded Development.
Flat hierarchies and work in a small but highly motivated, multidisciplinary and multicultural team. We are an equal opportunity employer who values diversity.
To work in a dynamic start-up environment in the heart of Berlin with the chance to play a big role in the success of Teraki. We do work that matters!
Be part of the TERAKI team, send your application today!
13/02/2020
Full time
Teraki is a Berlin based tech driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world. Teraki provides data reduction and data processing solutions for Automotive (IoT) applications and enables the launch of new applications by reducing hardware footprint, latency and costs. We help our customers on the challenges that are posed by the exploding amounts of data in connected vehicles for all sensor, video and 3D mapping data. In this role, you will contribute to the design and implementation of our backend system serving millions of cars, being highly efficient and easy to maintain. You will closely work with other Backend developers, DevOps Engineers, Software Engineers and Data Engineers. Your responsibilities
Design and implement a scalable, low-latency, fault tolerant distributed streaming system to ingest and process data from millions of cars.
Support Backend team to build scalable and future-proof micro-services to support the streaming use case and to run Machine Learning training and inferencing jobs.
Assess and evaluate technologies and tools to identify those fulfilling best our requirements and needs.
Work closely with our Software-, DevOps- and Data-Engineers to continuously implement and improve features, following an agile and test-driven approach.
You and your team have the ownership over the entire software development lifecycle from planning to coding, testing and maintenance.
Who we are looking for
Background in Computer Science, Software Engineering or related.
5+ years of professional experience developing software of which 3+ years in building modern streaming services at scale.
You have proven and solid experience in building systems leveraging a distributed streaming processing engine such as Spark, Flink, Apex, Faust or others.
You have 2+ years of Python programming experience. We appreciate knowledge of languages used by popular streaming processing engine (i.e. Scala and Java).
You have significant experience in designing, scaling, debugging, and optimizing microservice based and event-driven systems. We appreciate knowledge of REST Python Frameworks such as Flask, aiohttp, fastapi.
You are experienced with agile development methodologies and tools such as git, Jira and Confluence. You appreciate the importance of testing, software validation and clean code.
You have some basic knowledge in Continuous Integration and Continuous Deployment
It’s a plus if you have some knowledge in PostgreSQL, Django, Dask, Docker or Kubernetes.
“Can do” and above all “want to do” attitude.
Motivated fast learner and problem solver who can work in a team as well as independently.
What we offer
A unique opportunity to actively contribute to future mobility challenges.
To increase your know-how in state-of-the-art technologies: Data Analytics, Machine Learning and Embedded Development.
Flat hierarchies and work in a small but highly motivated, multidisciplinary and multicultural team. We are an equal opportunity employer who values diversity.
To work in a dynamic start-up environment in the heart of Berlin with the chance to play a big role in the success of Teraki. We do work that matters!
Be part of the TERAKI team, send your application today!
