37 jobs found

Wenn du als Experte für Datenbanken deine Kenntnisse in einem hoch skalierbaren Umfeld gewinnbringend einsetzt und ein Gespür dafür hast, wie man fachliche Anforderungen sauber und performant umsetzt, dann sind wir deine zukünftigen Teamkollegen! Bei uns bist du ein wichtiger Akteur im engen Zusammenspiel von Konzeption, Umsetzung und Weiterentwicklung. Dabei arbeitest du selbstbestimmt bei uns in Dortmund am Phönixsee, hast aber immer und überall einen Blick auf aktuelle Themen und digitale Trends, besonders im Sportbereich. Woran arbeitest du? Weiterentwicklung unseres produktiven Self-Service BI Tools Erstellung von BI Reports für alle Geschäftsbereiche, d.h. Risk Management, Compliance, Customer Support, Marketing und Datenbank Management Erstellung von KPI Dashboards für die Managementebene Ad-hoc Visualisierung von Geschäftsdaten Optimale Einbindung unseres Data Lakes bzw. unseres Apache Spark basierten Data Warehouses - Technologieeinsatz, Clustermanagement, Job Schedule Transformation der performanten Rohdaten in die Business Analysis Perspektive Was bringst du mit? MUST HAVES:   Apache Spark, SQL, AWS NICE TO HAVE:   Databricks, Zeppelin, Cassandra, Kafka, Microsoft Excel MAYBE HEARD OF:   Scala, Python, Java, Hibernate, Apache NiFi, Tableau, Looker Dein agiler Arbeitsalltag Unser Unternehmen besteht vorwiegend aus reinen Entwicklern. Daher reden wir nicht nur über Software, sondern fördern und gestalten zusammen alle Prozesse und Entwicklungen höchst effizient. Anstelle von Scrum nach Vorschrift setzen wir auf unser Projektmanagement in JIRA, 1:1. Kommunikation und Meetings im Wochenrhythmus oder nach Bedarf. Mit deinen Ansprechpartnern beim Kunden stehst du partnerschaftlich im Austausch. Wir reviewen und testen immer. Und wir deployen täglich. Du arbeitest eigenverantwortlich auf transparente (Zwischen-)Ziele hin. Deine Kollegen sind mit ihrem reichen Erfahrungsschatz und ihrem Hintergrundwissen jederzeit als Ansprechpartner greifbar. Unsere Pausen verbringen wir auf dem Balkon, am See vor der Tür, am Tischkicker oder beim Tischtennis. Dabei stehen Kaffee und frisches Obst zur freien Verfügung. In Absprache mit Kollegen und Kunden teilst du dir deine Arbeitszeit so ein, dass familiäre Verpflichtungen oder der Verkehr zu Stoßzeiten kein Hindernis darstellen. Kannst du dir nun vorstellen, mit uns zu arbeiten? Super! Um dich besser kennenzulernen, sende bitte deine aussagekräftige Bewerbung an Sarah Zimmer unter [email protected]. Wir freuen uns auf dich!

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

The Role As a Data Engineer at KONUX you will be responsible for managing a large research data lake that is growing rapidly in both size and complexity. You will take pride in ensuring that the data science team has the best possible access to well organized data sources. You will also act as an interface with our production team, ensuring alignment of model data requirements. You will, of course, be automating data management processes and be responsible for data cleansing. Ideal candidates learn and adapt quickly and will be able to use every tool at their disposal to understand and effectively tackle hard problems. You will be working in a Linux environment. Your Responsibilities Ensure the consistency and quality of a wide range of raw data sets, including millions of time series recordings from the field Provide database support and management of research model input and output data, including preparation of schema Create functional specifications and schema for new and existing data management processes Manage our data lake infrastructure, including services like Spark, Hive or AWS Glue/Athena Write interfaces to other systems for data gathering and data acquisition Develop data acquisition monitoring and accounting processes that alert users to missing data Automate the data cleansing and data pruning processes Assist with the development of the back-end (and design, and / or front-end too) for web-based data visualization applications Your Profile A degree in Computer Science, Engineering, or a related field 5+ years of database schema design and database management in a business environment Proficiency in SQL and Python and working knowledge of UML, XML, JSON etc. Knowledge of different database technologies SQL, NoSQL, object-relational databases Ability to understand and deliver in a complex and rapidly evolving data and product environments Demonstrated examples of working with business partners to deliver a solution that meet project objectives (requirements generation, functional specification generation to project execution) Familiarity with the fundamentals of machine learning Strong interpersonal communications skills (verbal, presentation and written) Autonomous and solution oriented working methods An understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)

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!

AbbVie Analytical Research & Development (Analytical R&D) ist eine globale Organisation der analytischen Wissen­schaften, die für alle analytischen Aktivitäten im Zusammenhang mit der Entwicklung der pharmazeutischen Produkte von AbbVie verantwortlich ist.

You will be able to make remarkable impact by driving the Drug Product Development (DPD) data strategy hereby enabling and evolving our data driven drug development concepts. You will have a key role in a global, strategic multiyear-program to design and implement world class data analytical capabilities at Abbvie – sponsored by the Chief Scientific Officer. Developing a data strategy is a collaborative task demanding excellent communication skills, the ability to connect people and views as well as showing high degree of assertiveness. Equipped with this skillset you will guide a data journey including an assessment of the status quo of data formats, the current data handling processes as well as an overview of used data repositories in the different areas of DPD. Based on these findings, critical and most advanced use cases should be identified as suitable pilot projects. These projects will drive the product development process and require collaboration with the scientists leading the projects. They will be the foundation for developing a comprehensive data strategy that is aligned with the respective business needs. This includes standardization of processes and workflows, the generation of ontologies and data models as well as the implementation of FAIR concepts (Findable, Accessible, Interoperable, Reusable) to make data available within the whole organization. The ultimate goal is to build a data basis for broad-based advanced analytics like Machine Learning, Predictive Analytics and Artificial Intelligence. These activities are accompanied by education of the organization with respect to the Data Strategy, broad-based data standardization (FAIRization), the potential of Big Data technologies and its applications in DPD. Key responsibilities include: Assessment of status quo with respect to data generation, data formats, ontologies, data repositories and data usage in different areas of DPD Prioritize activities and work with different areas towards standardization and automation of workflows across the organization and drive consistency. Together with Information Research and Data Scientist peers generate consistent data ontologies and data models (e.g. Allotrope concept) across the organization Contribute to the choice of adequate data systems/repositories together with Information Research and other departments Cross-functional collaboration to drive establishment and improvement of the Development Sciences and R&D data ecosystem Acquire and execute on identified pilot cases from the DPD organization. Drive and translate the overarching R&D and Development Sciences Data Strategy into meaningful projects within Drug Product Development (DPD) Educate the organization with respect to the Development Sciences Data Strategy, its goals and potential as well as the related necessary changes. Spread enthusiasm for entering the digital age in DPD. Relevant technical degree such as biology, chemistry, pharmacy, engineering or in computer sciences/ statistics or applied math. ideally combined degree. 4+ years of relevant experience in Data Handling (e.g., experience in modeling structured and unstructured data) and Advanced Analytics (e.g., Predictive Modeling, Data Mining, Machine Learning) Understanding of Data Engineering, Data Architecture and Data Science Experience with Data FAIRization would be desirable Relevant programming skills and experience (Python, R) Innovative thinker with strong strategic, analytical and critical thinking skills Project management experience, with the ability to effectively manage time, prioritize work, multi-task across many assignments, and effectively lead teams. Ability to effectively interface/communicate across functions and bring together different viewpoints. Excellent written and verbal communication and presentation skills in English. Self-motivated and able to operate independently and as part of a team We Offer A fantastic opportunity to work in in a world-class team. A mentor who will assist you as coach and contact person. A supportive environment that allows you to focus on your role and tailor your work to your individual needs, including flexible work models, multiple benefits, and comprehensive health and sports programs. Attractive compensation and company benefits, including our excellent occupational health management system, which is one of the best in Germany. Your Application We are looking forward to your online application. AbbVie welcomes and encourages diversity in our workforce.Learn more about AbbVie Deutschland at www.abbvie.de. Visit www.abbvie-care.de for more information about the therapeutic areas in which we’re active.

Unternehmensbeschreibung Sales Impact   is the sales organization of Axel Springer SE. With over 180 employees, Sales Impact is responsible for the print distribution of the successful newspaper brands BILD and WELT as well as the magazine titles AUTO BILD, COMPUTER BILD and SPORT BILD. Our many years of expertise in retail sales, press logistics, subscription, analysis and business intelligence solutions, among other areas, contribute to the success of our brands on a daily basis and make us Germany's largest newspaper distributor. The   Market Analysis team   within Sales Impact evaluates sales performance data and develops sales management tools. Your tasks Care, maintenance and operation of our sales databases with sales, advertising material and field service data of our print brands of the BILD and WELT Group Care, maintenance and operation of our data loading processes and interfaces Conception and commissioning of new data flow processes, definition of new data interfaces Answering technical ad-hoc questions from targeted data selections Close cooperation with our regional and central sales units, management, publishers and editorial offices and their advice on various sales issues and evaluations Use BI tools to create and enhance our dashboards Your profile Very good knowledge of MS SQL Server 2014 or higher SQL skills Fundamental knowledge in data and cube modeling Good know-how in the implementation of ETL processes, ideally with SSIS Good knowledge of Report Builder and Analysis Services Ideally knowledge of Tableau, Power Pivot, Power BI and SAP BW Strong ability to simplify and automate processes Very good analytical skills as well as a strategic and solution-oriented way of thinking High level of commitment and independent and goal-oriented way of working Our offer The chance to be involved in Germany's most successful newspaper distribution business Interesting tasks, which are independently implemented by you Collaboration in a dynamic and motivated team in which cohesion is a top priority Very good networking and training opportunities within the Axel Springer family, which enable you to create synergies Attractive and modern workplace in the   middle of Berlin   with good public transport connections From   now   on we offer you an   unlimited   position in full-time 40 hours/week Contact Questions regarding this position (Referenznummer 024200106) will be answered gladly by: Silja Albers, No. 030 2591 72272. Vorschau Link Für eine Vorschau klicken Sie bitte hier.

The opportunity Founded in 2013 in Cologne, Fitogram provides software solution for thousands of fitness professionals across Europe. Our software helps manage services such as online booking, customer management, payments and accounting. We take pride in building software enjoyable to use. Our latest product FitogramPro, links the marketplace with a SaaS solution for customer, course and appointment management and thus offers an all-in-one solution. For the first time ever, fitness providers have the opportunity to manage and win customers within one single platform. Our international, enthusiastic and lively team awaits you in the heart of Cologne. Let's revolutionize the sports market together! We are looking for our first Data Engineer who will be an essential part of our international team and will have the possibility to learn in a fast-growing start-up environment in the heart of Cologne. As the first role of its kind at Fitogram, you will have the opportunity to steer the data usage of Fitogram and play a key role in designing and implementing solutions used within the team. To do so, you will need to employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems so that the system-specific codes, for example, can become information in further processing by data scientists. What you'll do Design, implement and optimize data pipelines to produce clean and unified data from multiple data sources Optimize queries executed in distributed systems by improving query plans and carefully thinking about data partitioning and compression Maintain and optimize existing data transformation processes Research technologies and build software to support the work of Data Scientists and other team members in their daily work Work together with the Business Intelligence team to find the best solutions to handle data pipelines and data processing Manage the daily data warehouse operations What you need to succeed Several years of professional experience working with SQL and Python. Experience with at least one other programming language in a data-related context is a plus. Deep familiarity with setting up ETL processes and experience with Airflow, Luigi, Azkaban or similar ETL tools You have a strong desire to experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we will encounter along the way You will need to recommend and sometimes implement ways to improve data reliability, efficiency, and quality You are currently located within the EU (Need to relocate to Cologne? We will help you!) Our offer to you The opportunity to steer the data usage of Fitogram Working with a highly motivated and international data team with the standard open source stack (SQL, Python, Docker, Airflow, Metabase) in an agile environment The chance to conduct advanced analyses to drive business. Knowledge sharing and learning opportunities in an open data culture A flat hierarchy that offers a lot of self-responsibility, as well as opportunities for you to evolve and shape the company An Urban Sports Club L-Membership Up to 30 days vacation per year (26 in your first year plus one additional day for every year worked) Fitogram is committed to providing a friendly, safe, and welcoming environment for everyone who works here or with us, regardless of their sports preferences, gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).

As a Data Engineer you are a key member of our team based in Munich. Our customers are large enterprises who are seeking to be a part of #TheCloudRevolution and benefit from the agility, scalability and innovation of public cloud platforms. Leveraging Microsoft Azure, AWS and Google Cloud to deliver both infrastructure as well as Data driven and IoT related projects at speed has never been easier. Your role will be a key driver in the following areas (and many more): Building systems for ingestion Transformation and storage of vast amounts of data requires special expertise Designing, architecting and implementing modern cloud-based pipelines for our customers Making data accessible and usable for a new wave of data-powered apps and services You're offering these qualifications A minimum of 3 years of professional programming experience and hands-on experience in building modern data platforms / pipelines Programming language: Python Frameworks: Spark, Hadoop, Hive, Pig, Kafka Search engines: Elasticsearch, Solr Databases: NoSQL, Relational databases (columnar & row-oriented) Data pipelining: ETL, ELT Cloud platforms: AWS, Azure, GCP and their data services are a big plus Interest in or experience with machine learning and artificial intelligence is a plus We're offering these benefits A variety of interesting projects in an exciting area – cloud is one of the hot topics in the IT market of today Brilliant co-workers who are motivated to develop our business – we are not stuck with the attitude of doing things as they’ve always been done Positive, friendly and supportive working culture – we enjoy working together and share the knowledge International working community – we have offices in 8 countries in Europe and our company language is English Freedom to come up with new ideas and do your own decisions – micromanagement is not our thing Fast paced environment with straightforward processes Flexible working hours (home office, remote work) Gym membership and quarterly team events The position is in Munich (Germany) so a valid working permit in EU is required. Working at Nordcloud is not just the next best job – it’s the chance of a lifetime to leave your mark on the IT industry! The first impression of our team and the Nordcloudian culture you can get on our Instagram profile: https://www.instagram.com/nordcloudcommunity/ Or read more about the company at:   www.nordcloud.com

Ihre Aufgaben Als Teil unseres Teams mit Bezug zu Artificial Intelligence und Big Data entwickeln und implementieren Sie Lösungen im dazugehörigen Umfeld. Sie arbeiten in einem frischen, dynamischen Team und dürfen aktiv mitgestalten. Zusammen mit unseren Kunden konzipieren und entwickeln Sie unter anderem Integrations- und Managementprozesse von Daten unterschiedlichster Form mit Hilfe moderner Tools. Gemeinsam mit unseren Data Scientists und den Fachabteilungen unserer Kunden arbeiten Sie nicht nur an innovativen Proof of Concepts, sondern ebenfalls an deren Professionalisierung. Sie kommunizieren Ihre Arbeit auf unterschiedlichen Hierarchieebenen. Sie arbeiten entweder beim Kunden vor Ort, am jeweiligen Standort oder im HomeOffice. Ihr Profil Sie haben Ihr einschlägiges Studium überdurchschnittlich gut abgeschlossen. Sie besitzen eine umfassende Kenntnis von ETL- und Datenprozessierungstools und haben ggf. Erfahrung im Abbilden von Datenintegrationsprozessen im Cloud-Umfeld. Sie besitzen Erfahrung in der Arbeit mit verteilten Datenbanken und können unterschiedliche Datenquellen miteinander verbinden. Erfahrung als Data Engineer im betrieblichen Umfeld, insbesondere im Bezug auf die Optimierung der Datenintegrationsprozesse, insb. Storage, Computation und Up-&Out-Scaling. SQL und eine Auswahl an SQL-Dialekte sind für Sie kein Problem, zudem haben Sie gute Kenntnisse in mindestens einer objektorientierten Sprache, ebenso wie mindestens einer Skriptsprache (bevorzugt Python oder R). Erfahrungen mit dem Microsoft Azure Stack sind vorteilhaft, ebenso wenn Sie sich in einer agilen Arbeitsweise wohl fühlen. Kenntnisse im Machine Learning sind vorteilhaft, werden aber nicht vorausgesetzt. Sie sprechen fließend Deutsch und Englisch. Abhängig vom Projekt ist auch eine größere Reisebereitschaft erforderlich – lassen Sie uns über Ihre Wünsche und Bedürfnisse persönlich sprechen Wir bieten Einsätze in regionalen oder auch internationalen Projekten bei unseren Kunden oder an einem unserer Standorte – entsprechend Ihren Interessen Flexible Arbeitszeiten, ein transparentes Reisezeitmodell und in vielen Projekten/Positionen die Möglichkeit im Homeoffice zu arbeiten Maßgeschneiderte und karrierefördernde Aus- und Weiterbildungsmöglichkeiten Ein attraktives Gehaltspaket inkl. betrieblicher Altersvorsorge Sicherheit von über 30 Jahren IT-Branchen-Know-how Regelmäßige Team- und Unternehmensevents Firmenwagen auch zur privaten Nutzung (rollenabhängig) Ein herausforderndes Arbeitsumfeld mit Kunden aus DAX und MDAX Unternehmen

company description upday is a personalised news service that is exclusive to Samsung devices. We combine editorial expertise and curation with the very latest personalisation technologies to bring our readers the stories that matter to them. Upday is a subsidiary of Axel Springer SE with our headquarters in Berlin. We are growing fast and looking for creative and committed people to help build the upday vision in our Berlin office. If you’re looking to join a international team full of fantastic talent that has the energy of a start-up but the stability of an established media company - look no further. About the Role You are looking for a full-time, on-site developer position in the heart of Berlin. You are a team player with experience working in an agile environment. You are keen to develop your skills, and those of your team. You have an interesting hobby such as brewing beer or space travel. You are a software engineer at heart, and you love tackling problems with data. You’re comfortable tapping into different sources and making the data available for business usage, as well as querying it and optimising processes to access it. You take ownership for data integrity and you have the proactivity to spot, communicate and resolve issues independently. Some reasons why you would like to work with us: It’s an opportunity to work with passionate, curious people with a constant strive to improve and go the extra mile. We are a very diverse and international group and we have a strong culture of collegiality and an extraordinary team spirit that we are happy to share with you and are proud of. We provide personal growing support: from blog posts to tech talks and knowledge sharing. We conduct hackathons/hack-weeks every now and then, we are willing to make experiments and constantly try to grow. Competitive salary and unlimited contract and many more benefits. Qualifications and Skillset Your Responsibilities Collaborate with the Data Engineering team to design, create and maintain data pipelines and data-warehouse structures (data marts) to meet business operation needs Write ETL code and data pipelines for our data lake Investigate and tackle data problems, develop and maintain monitoring solutions to prevent them in the future Build and manage data integration and data delivery solutions Manage and maintain the data infrastructure and ensure data quality An academic degree in Computer Science, Mathematics, Engineering or equivalent practical experience Work experience in building and maintaining data warehouse systems and data pipelines Good knowledge of Python Experience in any of the below would be a plus Airflow Snowplow Experience with Amazon Web Services or any other cloud computing platform Spark, Hadoop (or similar distributed data processing technologies) Machine learning technologies Proficiency with data analysis What we offer On top of this magnificent setup, upday will provide you with a wealth of benefits like: Of course, we have Football (Kicker), table tennis and all the other start-up gimmicks All drinks free (water, beer, coffee, tea, club-mate, champagne on special occas-ions etc.) and fresh fruit twice a week Your choice of a MacBook or a Windows/Linux machine and a smart phone w/ contract A very generous self-development budget to get certified or to travel to conferences all over the world A competitive salary A chance to push your ideas and visions, in particular during the periodic hackathons An unlimited contract Your Contact For any further questions (requisition number 033400093), feel free to contact Hannes Witte, under 030 2591 72221. additional information Axel Springer is an equal-opportunities employer. We welcome applications from people with disabilities. You can find further information about Axel Springer's Representative for Disabled Persons as well as contact details here. preview link Für eine Vorschau klicken Sie bitte hier

Berlin / Headquarters Who we are looking for You are a goal-oriented, proactive team player with an engineering mindset who is focused on delivering efficient business problem’s solutions. What we offer Be part of a growing team making fast decisions, where you can watch your ideas and actions come to fruition. This is what adds up to time well-spent – not mere billable hours. Creative ownership – drive the business forward with your ideas, launch projects from the ground up and see them through from inception to completion, giving your input and galvanising your colleagues while you bring out the best in each other. An opportunity to be the change you want to see: at CrossLend you can use your skills to not only make a good living, but to enhance the transparency of the financial ecosystem. Diversity: intellectual as well as cultural – join a welcoming international team of smart and open-minded people, where it’s easy to make friends. A Personal Development Plan, along with access to dedicated resources to ensure that you can be the best in your role. Work-family-friends balance – step off the treadmill and feel like a human again: our office is all about maintaining a healthy balance between a results-driven work environment and your all-around wellbeing. What you will do Develop a scalable, extendable and easy maintainable data platform to allow business to grow effectively Own data pipelines and support cross-functional data and product teams to assure smooth product development Support the data science team to integrate machine learning services into product What you bring on board Must-have Python (6+ on the scale of 1 to 10, where 10 is the level of Maxime Beauchemin) SQL (able to read/ debug/ write complex queries) Good understanding of transactional and analytical databases Work experience in Linux/Unix environment Work experience of building scalable data pipelines Nice-to-have TDD, BDD, DDD, extreme programming, lean development Docker Gitlab CI/CD AWS (s3, RDS, EKS, Fargate) Being programming polyglot, e.g. experience in golang, nodejs, R, etc. Experience of working with Apache Airflow FinTech experience is a plus What we are doing CrossLend is developing a platform to connect institutional sellers (originators) and buyers (investors) of loans on a large scale. Originators are providing historical data that are used to create prediction models. Based on the predictions, investors can run several types of analytics to define their investment criteria. Once an investment is done, the platform will be fed with updates about the loan performance to provide further portfolio analysis. This enables a high transparency for the investors to prevent crashes like 2008. In an additional step, the purchased loans can be resold on the platform to create a liquid market for loans to enable a better flow of capital between countries in the European Union. The Data platform team is one of the most critical business units. We develop infrastructure to integrate originators, perform data science tasks, provide reporting solutions and analytical instruments to deliver the best value to our customers. We follow lean development approach and rely on the following tech stack: AWS and Kubernetes, as the host and orchestrator for our platform Transactional and analytical databases, i.e. Postgres, redshift, snowflake Python, as the main language to prototype and productionize data platform services SQL, as a universal instrument to analyse structured data at scale

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming. Job Description The Data Services team is seeking a Director of Data Engineering with a passion for managing technical, data-heavy engineering operations. As an experienced leader, the qualified candidate will have had significant engineering experience with technical depth and breadth. This person will be responsible for overseeing all engineering related activities of the team, ensuring proper execution of duties and alignment with the business’s overall vision. The person will be a seasoned organizational and people leader, with deep understanding and experience of data architectures, information systems deployment and storage techniques and information management. The Director of Data Engineering will work with cross functional teams across the company to provide advanced data management and analytical systems and services. The ideal candidate will not only have broad data engineering experience, but will be passionate about emerging technologies, engineering and technology best practices. He/She will also be an astute mentor, with the ability to balance appropriate delegation with timely, personalized mentorship. The candidate will be able to report effectively, both upward and downward, across the organization. Primary Responsibilities Cultivate a customer-centric, results-driven data engineering organization Partner with internal teams and external vendors to ingest, store and enrich data throughout the organization within the enterprise data lake and underlying warehouses/data marts/etc Operate as a thought leader with the ability to guide, influence, and inspire peak performance across the data architecture design and ETL functions Lead large-scale integration and replatforming efforts with CRM, Email Service Provider (ESP), and Customer Engagement Platform (CEP) systems – both internally and externally – to enhance the data and marketing platform infrastructure Collaborate with Data Science, Marketing Science and Data Product teams on implementing machine learning algorithms at scale to facilitate audience intelligence, segmentation and personalization initiatives Collaborate with Business Intelligence and extended analytics groups on data mart optimizations, query tuning, and data model designs with a focus on delivering actionable insights Work strategically to align data assets, storage, and computation/query layers to support long-term data platform goals, help define data models, publish metadata, guide best practice ETL standards Make sound architectural decisions across relational, multi-dimensional, distributed and object-based storage platforms Mentor junior-level engineers and participate in code reviews Execute proof of concepts to assess strategic opportunities and future, next-generation data processing and integration capabilities with a focus on recommending scalable, elastic and extensible solutions that yield positive ROI Required Skills Proven ability to lead and mentor a highly technical engineering team while also demonstrating the ability to discuss, understand and synthesize solutions for the business needs and data management requirements of other organizational units Ability to collaborate with business unit leadership as well as individual members of the team with strong empathy, and ability to creatively problem solve 8-10 years of experience in data engineering and data management 4-6 years of experience with distributed data frameworks, Hadoop and related architectures (Hive, Spark, Presto, EMR) Absolute fluency in SQL Hands-on experience in designing and managing data lakes, data warehouses and downstream marts Hands-on experience with AWS ecosystem (EMR, EC2, S3, Lambda, Dynamo, Glue, Redshift, EKS, RDS) Exposure to modern development approaches (containerization, microservices, CI/CD) Hands-on experience with relational database platforms (Oracle, SQL Server, Postgres, MySQL) Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow, Luigi, etc) Solid understanding of SOA design and implementation Exceptional analytical, quantitative, problem-solving, and critical thinking skills Have a collaborative work style with strong desire to work in dynamic, fast paced environment that requires flexibility and ability to manage multiple priorities Bachelor’s degree or equivalent experience in Computer Science, Information Science disciplines, or comparable STEM related degree Desired Skills Experience with Databricks/managed Spark Experience with Snowflake Experience with online media data at scale (web/ad/video/email event streams, identity graphs/maps) Experience with GCP tools (BigQuery, GCS, DataFlow, PubSub, Composer) Exposure to graph processing frameworks (Neo-4j, Neptune, DGraph) What happens next? If you are interested in this opportunity, please apply below and we will review your application as soon as possible. Please note that due to the high level of applications we receive, it is not always possible for us to respond to each applicant in person. Should your profile fit this open position we will contact you within approximately 4 weeks. You can update your resume or upload a cover letter at any time by accessing your candidate profile. C   ondé   Nas   t is an equal opportunity workplace. Duties and responsibilities may be adjusted based on years of experience. Salary is also commensurate with experience