23 jobs found in Bavaria

We are one of the digital success stories "Made in Germany".   Our DNA is 100% digital. Tools Qlikview SAS SQL Tableau Cognos Salary 60K € - 65K € Our customer is a digital success story "Made in Germany". Business intelligence, big data and data analytics have been the backbone of strategic decisions for many years.   The company delivers to its customers through all aspects of analytics processes, from project idea through implementation to follow-up and development.   As a "senior data analyst (m / f)" you will therefore act as an interface between different departments and contribute to the development of reporting solutions. Based on your expertise in using the latest BI tools and solutions, you will be able to bring important insights to life to meet the high quality standards and stay ahead of the competition.   As a job holder, an exciting field of duties awaits you in a highly motivated team with an attractive compensation in the heart of Munich. Tasks Preparation of BI concepts and roadmaps, as well as implementation of holistic BI architectures and infrastructures Evaluation, optimization and continuous development of existing BI systems Specification of controlling processes & methods as well as definition of KPIs Definition / implementation of ETL processes, DWH structures, planning, and Reporting systems Contact person for technical, organizational and technical questions concerning BI, Big Data & Advanced Analytics Topics Execution of trainings and workshops, as well as coaching junior staff Profile Completed Business Administration, (Business) -Informatics Studies or a comparable qualification Several years of professional experience in the conception and implementation of BI solutions Experience with BI tools such as Cognos, Business Objects, Qlikview, R, SAS, Tableau, Oracle BI, etc Expert knowledge in ETL processes Database knowledge especially in good SQL knowledge Safe and confident appearance, coupled with excellent communication skills Solution - and Service   Oriented Working Methods Goodies Questions Max Mustermann BI Consultant 030 89 40 25 66 info@flint-data.com

The Global Credit Solutions team specializes in credit risk underwriting for global banks.   Your role as a credit analyst is to carry out a risk analysis on a bankruptcy basis. Your job Independently analyzing the creditworthiness of banks and evaluating complex financing structures in the field of export trade finance Determining maximum risk appetite for individual banks and banking sectors at country level Assessing country risks in the context of (project) financing transactions of sovereigns, and underwriting political risks Preparing internal credit applications with informative recommendations as well as independent clients Conscientiously monitoring the existing bank portfolio with a global scope;   identifying significant risks at an early stage and initiating appropriate risk-control measures Developing and enhancing existing tools and credit risk management systems Cooperating closely within deal teams, and being directly involved in client contact Assisting the examination and development of new business opportunities Your profile A university degree, preferably in business or economics, or equivalent training (banking traineeship followed by relevant further education) Several years' professional experience in credit analysis of banks (preferably in emerging markets) Relevant product knowledge in export trade finance and financing transactions of banks Good knowledge of country risk analysis and interest in economic, political, and regulatory topics; In-depth knowledge of credit risk management in banks, including development finance / multilateral institutions Advanced skills in Excel and data analysis Team spirit, initiative, ability to work independently, solution-oriented mindset Confident, excellent social skills, especially when interacting with colleagues and clients Business level English required;   additional foreign-language skills are an advantage About us Munich Re is one of the world's leading reinsurance companies with more than 50 locations around the globe.   Tomorrow, whether that be climate change, major construction projects, gene technology or space travel.   Tailor-made solutions and expertly advise our clients.   If you want to help shape the future as part of one of our teams, we look forward to hearing from you.   Please click on the link to apply online. Munich Reinsurance Company Astrid von Minckwitz Human Resources Königinstraße 107 80802 Munich GERMANY Apply now!   Apply for this job!

The   RHÖN-KLINIKUM AG   is one of the largest healthcare providers in Germany.   The clinic group offers excellent medicine with direct access to universities and research institutions.   More than 850,000 patients are treated at the five locations Central Hospital Bad Berka, Campus Bad Neustadt, Hospital Frankfurt (Oder), University Hospital Gießen and University Hospital Marburg (UKGM).   Nearly 17,000 employees are employed here.   With the RHÖN Campus concept, the company is currently implementing a novel and forward-looking project that raises the cross-sectoral medical care in rural areas to a new level of excellence and is geared to the growing needs of patients.We are looking for one   for the   department Digital Transformation   at the location Bad Neustadt ad Saale Medical Data Analyst / Data Scientist (m / w / d) What awaits you: Big data, machine learning and methods of natural language processing are central elements of the digital transformation of our clinics.   They actively support the transfer to the broad application by assuming tasks in the field of: Conception and analysis of the structure and content of medical records Development and piloting of application scenarios in the area of ​​process-optimizing data analysis Planning and development of strategies for data collection and extraction from internal and external source Visualization of the analysis results and derivation of recommended actions Collaboration in innovative projects in the field of digital health data and eHealth Presentation of the results at all decision levels and moderation of workshops Evaluation of new technologies and concepts in the healthcare sector Development of application and integration scenarios in existing systems What do we expect from you? Successfully completed studies in computer engineering, medical, biotechnology or business computer science or computational linguistics or comparable qualifications Ideally, knowledge of common medical terminologies and ontologies (ICD, MedDRA, SNOMED, ​​UMLS, LOINC) and process knowledge in the hospital or healthcare field Project experience in data science, machine learning and natural language processing, ideally with health data Experience in the application of OCR technologies and data extraction Knowledge of relational databases (SQL) and ETL processes Experience in common programming and scripting languages ​​(Python, R, Perl, Java) and libraries eg.   Eg TensorFlow Good IT knowledge in the area of ​​server / client infrastructures Service-oriented and friendly appearance, communication and presentation strength, team-oriented work, resilience Willingness for on-site project assignments in Group clinics What do we offer you: Are you looking for the opportunity to develop personally and professionally?   Then we offer you a very interesting and demanding field of activity in a dedicated team with a variety of development opportunities, a non-tariff compensation that complies with the requirements of the position, 30 days of holiday per year and occupational pensions. Do you want to use your chance with us?   Then we look forward to receiving your application

We are shaping the future of the energy landscape. Be part of our team and set off together with us! Tasks and Responsibilities As a Data Scientist, you want to be the thought leader on big data analytics.   To facilitate the energy transition you will scout for new Data Analytics Technologies and Methods.   You want to support the Digital Transformation team in a broad sense of Data Analytics subjects.   As data scientist wants to analyze the data sets, create valuable insights for the business and wants to develop predictive and forecast algorithms. You want to work in a data lab environment, but you should be able to bring your newly developed algorithms into productions.   As an example these algorithms can be used for forecasting of the production of renewable energy (solar or WIND), predictive maintenance algorithms for our large asset base or grid prediction, gird modeling and grid optimization. Besides this you will be responsible for: Create new insights for the business by analyzing large data sets Implementation of the algorithms, together with data engineer, in a deployment environment Data mining with available datasets and identification of new data sources for the improvement of the algorithms Continuous contact and exchanging information with the data suppliers to optimize the input data Insurance of the information security and privacy guidelines Functional requirements Master's degree / Ph.D.   in Computer Science, Statistics, Operations Research, Applied Math, Engineering Profound experience with analytics, statistics and data science Hands-on experience with advanced analytics tools (Matlab, SPSS, Python, R) and Big Data tools (Hadoop, Spark, Cassandra, MarkLogic) is a plus Proficiency in key statistical techniques (predictive modeling, logistic regression, decision trees, data mining methods, forecasting, neural networks and other advanced statistical and econometric techniques) Ability to find new ways while not losing focus on deliver solutions for our daily business Communication skills, that help you to explain your topic to even non-specialist clients TenneT Your perspectives With us you can contribute your own ideas and shape processes responsibly and independently Within the German "Energiewende" we are open to innovation and undertake highly exciting tasks We work across divisions, appreciate the collegial interchange and understand us as one team Our modern campus promotes working in a relaxed atmposphere Arnhem (NL) and Bayreuth (G), exchange of knowledge within the team is key.   The location is located in Bayreuth (G). Apply now via our job portal at karriere.tennet.eu. Any further questions? TenneT TSO GmbH Mr. Richard Mays |   HR Talent Management |   Recruiting T 0921 50740-5692

As a Data Engineer you are a key member of our team based in Munich. Our customers are large enterprises who are looking for #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 wants to 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 are 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 8 offices in Europe and our company language is English Freedom to come up with new ideas and your own decisions - micromanagement is not our thing Fast paced environment with straight forward 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 to make a mark on the IT industry! Instagram profile: https://www.instagram.com/nordcloudcommunity/ Or read more about the company at:   www.nordcloud.com

Big Data Engineer / Senior Developer working on a new greenfield project. The job wants to be subject matter expert within the organization, building and maintaining a Big Data Platform using latest innovative technology.   Suited candidates are likely to be experienced in building scalable-enterprise big data systems, ideally using Spark and within a DevOps environment.   Any experience of having already built a Big Data Platform for another organization has embarked on a Digital Transformation program is highly advantageous.   Suited candidates wants to have a solid engineering background and have made a significant impact on the architecture of a future proof platform. Our client is interviewing next week, so please send us your CV immediately or call Bangura Solutions on +0358 942 702 0570 to be considered for this career opportunity.

Big Data Engineer - Munich Who is hiring? I have presently partnered with a search engine in Germany.   Their platform has evolved rapidly over the past few months to cater for the millions of daily users.   They have registered impressive growth in the number of users and sales revenue and they want to grow further.   So they are investing a lot to improve the user experience of the platform.   They have an exciting position for experienced and talented big data engineer to join their engineering team. What do you want to do? Assisting internal clients with practical strategic Proving solutions to ad hoc data requirements Working closely with data scientists and engineers Building personalized experiences users Performing data extraction, aggregation from multiple sources using Google Analytics / GoogleBigQuery Creating confidence in data tests, automation, monitoring and neat visualization Why you should not miss this opportunity? Requirements Prior experience in transforming solutions into code Knowledge in Scala and Python Familiar with fundamental SQL skills Experience with cloud infrastructures, AWS Clear understanding of Map / Reduce paradigm Experience with Spark / Hadoop would be an added advantage Prior experience with scaling ETL projects Very good English, German or Polish language skills Why You Should Not Miss This Opportunity Salary up to € 70k - € 98k pa Other benefits and perks Third Republic is a new breed of people helping in advanced technologies to further their careers.   We have a plethora of unique job opportunities in Salesforce, Workday, MuleSoft, DevOps, AWS, Google Cloud, Azure, Architecture and Software Sales. Please contact us on +49 211 546 9032 if you would like to find out more about current market trends and other services, we offer you as CloudCareers, our talent management service helping people access the hidden job market.

Fashion & Tech – das ist die s.Oliver Group. Mit über 300 Tech- und Digital-Experten aus Bereichen wie SAP, DevOps, Web & Mobile Development, IT-Architektur-Management, Innovation und E-Commerce sind wir einer der wichtigsten Treiber im Bereich FashionTech. Das ist Dein Job Du sorgst für State-of-the-Art BI-Lösungen – in einem spannenden, dynamischen Markt Du bringst einen erfolgreichen Bekleidungshersteller auch bei der SAP-integrierten Planung an die Spitze Mit deinem Team analysierst du die Anforderungen der Fachbereiche und entwickelst daraus intelligente Services Du bringst die Services zu einer erfolgreichen Abnahme und sorgst für ihre stabile Verankerung im operativen Betrieb Dabei ist es für dich auch keine Frage, den Second-Level- und Third-Level-Support mit deiner Expertise zu unterstützen Das bringst Du mit Du hast (Wirtschafts-)Informatik studiert oder eine vergleichbare Ausbildung abgeschlossen Du bist bei dem Thema kein Greenhorn mehr und hast in vergleichbarer Position bereits BI-Projekte nach vorne gebracht Du arbeitest selbstständig, strukturiert, erkennst und entwickelst Potenziale und kennst dich mit komplexen IT-Zusammenhängen und -Systemen aus Sehr gute Kenntnisse solltest du in SAP BW und in SAP Business Intelligence Platform (Datenmodellierung, ABAP-Programmierung, Berechtigungen) mitbringen Gute Kenntnisse brauchst du in SAP HANA, bei der Integration zu SAP BW sowie im Bereich SAP IP (Integrierte Planung, idealerweise Planning Application Kit) oder in vergleichbaren Planungslösungen Unsere Benefits Vertrauensarbeitszeit / Flexible Arbeitszeit Homeoffice s.Oliver Academy inkl. Coaching Essenszuschuss in der Mitarbeiterkantine Kostenfreie Getränke (Wasser, Kaffee, Tee) Arbeitgeberzuschuss zur betrieblichen Altersvorsorge Fahrtkostenzuschuss & Firmenabo Mitarbeiterrabatt Sportangebote uvm. Wir freuen uns über Deine vollständige Online-Bewerbung (mit Starttermin und Gehaltswunsch). Deine Bewerbung wird innerhalb der s.Oliver Group bearbeitet.

In deiner Position als Data Engineer (d/m/w) im Data-Warehouse-Team beschäftigst du dich mit der Bereitstellung von Daten aus unserem zentralen Data Warehouse und der Anbin­dung unserer Business-Intelligence-Tools. Du gestaltest so die Infrastruktur für die daten­getriebene Zukunft der TeamBank aktiv mit.

Cape Analytics uses AI and geospatial imagery to provide instant property intelligence for the United States.   Cape Town Airport, Inc., Canada.   Founded in 2014, Cape Analytics is backed by leading venture firms and innovative insurers. Position Summary:State-of-the-art machine learning models read large amounts of human-annotated data (ground truth) used for training and testing our models.   Accurate data is crucial for our models to perform well.   Scalability is another important aspect, which is why we outsource most of the ground truth generation to our contractors.   We are looking for an experienced data analyst who wants to own and manage the end-to-end pipeline.   S / he wants to be the contact person for everything ground truth relationship, from training our contractors to new taxonomies to quantifying the data accuracy and developing new methods to improve it.   Strong communication skills, scientific approach, strong foundation in statistics, data analysis and data management wants to be critical to success.   S / he must be working in an agile environment with full ownership and little supervision.   This person should be passionate about continuous improvement, automation and data quality. What You'll Do: Take mental ownership of our ground pipeline and help us extend its functionality to support the development of innovative new products.   Coordinate with multiple teams at Cape to meet short-term and long-term objectives. Design and implement methods to quantify and improve ground truth data accuracy in collaboration with the data scientists. Design and experiment new ways for more accurate and efficient ground truth generation. Participate in creating and updating taxonomies for machine learning models.   Create documentation for taxonomies and train the ground truth contractors. Evaluate ground truth contractors and provide feedback on high quality standards. Leverage the feedback from the contractors to improve the taxonomy definition, and collaborate with the engineering team to improve the tools for data collection and management. Triage and report bugs in our data pipeline. Take ownership of communicating changes to the appropriate end-users. Maintain comprehensive documentation of data, definitions, tables, and schemas across multiple systems. Build and support visualization and exploration capabilities around our data sets. Contribute to constantly improving quality / quality assurance best practices. Skills / Requirements: BS (MS is preferred) in Statistics, Analytics, Computer Science or related STEM fields. Excellent critical thinking, troubleshooting and analytical problem-solving abilities. Excellent verbal and written communication skills.   Must be able to create clear documentations, communicate with offshore contractors and with multiple teams at Cape. Solid foundation in Statistics and Data Analysis. Coding Skills: Python, SQL. We believe: Talent is critical, but best when tempered with humility Self-motivation leads to the best outcomes Open, direct communication is a sign of respect Teamwork drives success Having fun together is an important part of the job *** Cape Analytics is at E-verify participant. ***

In deiner Führungsrolle verantwortest du das Requirements Engineering und die Business-Analyse für die Themen Data Analytics, die Daten­haltungs- und Daten­management­infra­struktur sowie für das Melde- und Berichts­wesen. Weiterhin bist du in dieser Funktion die Kommunikations­schnitt­stelle des Data-Analytics-Centers mit den Fach­bereichen.

Als Master Data Owner (d/m/w) beschäftigst du dich mit der Koordination der Daten­verant­wort­lich­keiten innerhalb der TeamBank. Mit deinem ausgeprägten Qualitäts­bewusstsein gestaltest du die daten­getriebene Zukunft unseres Hauses aktiv mit.

Berufserfahrene und Einsteiger finden bei uns neben einem tollen Team aus mehr als 10.000 netten Kollegen und über 770 ver­schiedenen Stellen­profilen viele attrak­tive Heraus­forderungen, die sich einer modernen Ver­sicherung stellen: Verur­sacht das Auto der Zukunft weniger Unfälle?

For one of our Leading IT Industry Clients, we are looking for a Senior Data Scientist. Your roles and responsibilities: Understanding, recording and analyzing customer requirements Development of new statistical model for large data sets Consulting the costumers with planning of BI projects Supporting in business development Project documentation Your skills: Proven ability in extracting data and thinking innovative, outside the box Hands on experience in Python, R, Matlab, SAS etc Fluent German and English Willingness to travel University degree in mathematics, statistics, computer science or business Informatics Valid EU Work permit Benefits   : Positive, friendly and International working atmosphere Flat hierachy and attractive salary package Growth opportunities and responsbility in the very beginning Professional support (on-site training, further education) etc. Does this sound interesting?   Would you like to hear more? Please feel free to reach me at +491737515523 or please email me at khushboo.khanna@fyte.com Best regards, Khushboo Khanna We offer you: Collaboration in an international team of business analysts, DWH and BI experts Excellent opportunities for professional growth through assignments in industry-recognized projects for well-known clients Promotion of your personal potential and individual career planning (training and further education, participation in specialist conferences, etc.) The Possibility of assuming responsibility at an early stage Flat hierarchies and an all-round attractive service package Translated with www.DeepL.com/Translator

Data scientist The JetBrains Marketing Research Team is looking for a Data Scientist.   We are engaged in a wide range of projects for our Product, Sales, and Marketing departments.   For our research, we use various internal / external data sources and statistical analysis.   Our goal is to supply our product, marketing, and sales teams with the necessary data to help them. JetBrains makes sound financial decisions.   You want to be involved in exploring a range of different business models as the company grows. You want: Develop advanced financial models for sales prediction and pricing. Evaluate the performance of our volume discounts and special offers. Evaluate the price sensitivity of different customer groups and provide suggestions for improving the pricing policies. Conduct research in order to answer questions about product prices, company revenue, and the effectiveness of sales and marketing activities. Work closely with other analysts and company leaders. Define and track meaningful metrics to support decision-making. Develop and produce regular insightful reports as needed. Report on the work done and make presentations on the results for research initiators. Minimum qualifications: Bachelor's degree in business, finance or a related technical field, or equivalent practical experience. Minimum 3 years of experience in the software, Internet, media or telecom industries. Experience in financial analysis, including forecasting and valuations in a technical business. Knowledge of mathematical statistics with practical experience in the application of statistical methods. Strong knowledge of R or Python. Good English proficiency (sufficient speaking and writing skills). Preferred qualifications: Master's degree in business, finance or a related technical field. Demonstrable knowledge of SQL. Proven experience in developing effective forecasting models for pricing and financial processes. Effective problem solving and advanced analytical and modeling skills, combined with impeccable business judgment and strategic thinking. Strong written and verbal communication skills with a proven ability to engage with colleagues across the company. We offer: Fascinating work in a friendly dynamic team. Competitive salary. Flexible working schedule. 25 working days of paid leave per year. An office library with specialized work-related books and magazines. Comfortable working environment, ergonomic workplaces, fitness and leisure zones and a company-paid car park. Excellent opportunity for professional and personal development. Additional benefits including lunch vouchers, free refreshments and snacks in the office, and more.

For more than 100 years, we have been merging technology and everyday life as a company.   The future begins with us. Tools AWS Apache Kafka Hadoop Java NoSQL Tableau Scala Salary 70K EUR - 80K EUR With more than 100 years of professional experience and over 100,000 employees, our customers are among the few companies that have been setting trends for decades and are seen as a catalyst for progress and people.   ,   OB IOT or self-driving cars, from the firewall, has always been fiddled with the future.   For my clients, CRM, BI, and Data Science teams are making AI a reality today.   More than 170 databases and 307 servers worldwide ensure a unique customer experience in real time.   In order to do justice to the speed of the digital transformation, the data infrastructure is being restructured on a cloud level as part of a million-dollar package. tasks Design and implementation of data integration components to support data-driven applications and data science projects. Analysis and processing of structured and unstructured data sources. Design and implementation of APIs and systems to enable high-   performance use of data.   Continuous data quality assurance and policy development Improve Quality Using Big Data Tools such as Spark, Elasticsearch, Hadoop, Kafka, Impala, ... Build Scalable Software and Applications with Python, Scala, and JavaScript Manage and develop existing technologies in collaboration with your team profile Completed university studies in computer science, business informatics or a comparable degree program First professional experience in the development of backend applications, ideally for highly scaled systems Hute knowledge in relational and NoSQL database systems (eg PostgreSQL, MongoDB, Elasticsearch etc.) "Know How" in Big Data Ingestion / ETL processes and technologies (eg Flume, Kafka, Python, Scala ...) Knowledge of big data infrastructures (especially Hadoop, Spark, Impala, Hive) Very good knowledge of SQL Desirable knowledge of common web technologies (eg JavaScript, Python ) Goodies Questions Max Mustermann Data Engineering Consultant 030 8940 2566 info@flint-data.com

A career at Lilium is for those who want to do something extraordinary.   Every day we are pushing the very boundaries of technology and customer experience to deliver something that has never been done before. What are we doing here?   By joining Lilium you will have the opportunity to work with our world-class team of more than 300 leaders, experts and engineers who are passionate about changing the world as you are. So   we   're passionate about diversity:   we want you to come as you are, no matter your background.   As long as you share our desire to push the limits of what's possible, you'll be right in. Your role and your team: We are looking for an outstanding battery engineer or scientist to join our innovative team that wants to shape the future of urban e-mobility. Our Energy Storage team is responsible for the full lifecycle of our energy storage systems, from design to maintenance and management of energy consumed across all components and in our cabin.   We are building a world-class team that wants to work across topics such as component design, thermal and air conditioning, power and battery management, battery cell engineering, testing and high voltage battery management. As part of the Cell and Battery Technology team within the Energy Systems department, you want to have complete ownership with end-to-end responsibility of battery data management.   You want to develop the necessary tools for advanced analytics and deliver actionable insights into battery performance and lifetime. Your work wants to be innovative in the development of an innovative energy storage system that meets challenging performance, mass and size targets.   Focused, efficient and proactive thinking to develop effective and creative interface solutions.   Having great ideas and the ability to implement them, you will find the perfect place to work at Lilium. Your Day to Day: Development of scalable pipelines for multi-level battery data originating from prototypes, field units and other sources End-to-end responsibility for data storage, querying, aggregation, analysis and visualization Application of advanced data analytics, such as machine learning, for continuous improvement of battery performance and lifetime Close cooperation with fellow battery engineers for data requirements in support of design, simulation and test activities Support the development of series production processes and process standardization across departments Work on any ad hoc related projects or tasks to support our fast-paced development activities Your Profile: Master's degree or higher in Computer Science, Statistics, Engineering or related field 3+ years of end-to-end experience with large-scale structured data (industry or academic) Extensive experience in statistical analysis, artificial intelligence and data visualization Working knowledge of battery performance indicators and time estimation techniques Experience with MATLAB / Simulink required Experience in lithium-ion battery modeling and characterization would be beneficial Experience with Apache Spark, Hadoop, Cassandra or other big data technologies would be beneficial Strong motivation to help build structures and processes High level of self-reliance with the ability to work in a team, as well as autonomous Target-oriented, driven workstyle with analytic problem-solving skills are required Fluent English language skills are essential, fluent German or any other language would be beneficial Life at Lilium: Our HQ is designed to make Lilium work as comfortable as possible.   We've got the basics covered with parking and free transport links to local stations, but it's also a place to work with, with shared working spaces, rooms with sofas and hammocks, and a rooftop terrace day long.   Finally, we're buried in the idea that your health is central to your happiness, so we've invested in extensive gymnastics, free yoga sessions, bikes you can to cycle around our campus, a relaxation room and three free meals a day. relocating: In order to build a world-class team, we welcome people from all over the world.   From free language tuition to relocation assistance and visa sponsorship, we'll support you on every step of your journey. Lilium is an equal opportunity or ethnicity, sex, disability, religion / belief, sexual orientation or age.

Location: MunichRequisition ID: 1708 Discover Your Passion for the World of Banknotes.   G + D Currency Technology is a market leader in creating innovative solutions for banknotes and banknote processing systems.   We are a trusted partner to central banks and the currency industry, increasing security and efficiency in the money cycle.   As part of Giesecke + Devrient Group, we offer a wide range of development opportunities in an international, family owned company that has more than 11,000 employees worldwide.   In addition to competitive remuneration, you can expect an excellent package of benefits and flexible working conditions. Work with us on Big Data Engineering to offer innovative digital solutions to our worldwide customers of central and commercial banks. Your task: As an expert in data engineering, you are responsible for the development of new digital solutions and work, for example, on our digital backbone, digital twins and data strategy models You will be responsible for the design, implementation and operation of effective data processing architectures within our innovative microservices and cloud-based data analytics, IoT and digital solutions Further tasks include ingestion, integration, organization, batch and stream processing as well as lifecycle management of data Ensuring the quality, integrity and privacy of the data are other important elements You are responsible for setting up and monitoring the database clusters in the DevOps paradigm: "You build it - you run it" You can expect close collaboration in agile teams with data analysts, developers and product owners for digital products and for customer projects Your profile: You have completed a Masters degree in computer science or a comparable subject area Data Ingestion / Integration (Flume, Sqoop, Nify) Data Storage (PostgreSQL, MongoDB), Distributed Storage (Hadoop, Cloudera), Messaging (Kafka, MQTT), Data Processing (Spark, Scala), Scheduling ( Oozie, Pig) You have more than 5 years experience in the development and operation of large-scale data processing pipelines in scalable microservice / REST architectures Experience in cloud environments like Microsoft Azure or AWS is needed You have a high level of analytical ability and enjoy working independently In addition to a high motivation for the task, you are characterized by a structured way of working and the joy of working in interdisciplinary teams You have a good command of German and a very good command of English, both written and spoken We are looking forward to receiving your application! G + D Currency Technology GmbHPrinzregentenstrasse 159, 81677 Munichwww.gi-de.com/join-ctCT_meeting_mfWe are shaping the future of currency based on 160

As the world's leading provider of engineering and research and development services, Altran has a completely new way for its customers to innovate.   For this purpose, it is developing the products and services of tomorrow.   Altran works with its customers on every link in the value chain of their project, from planning to industrialization.   For more than 30 years, the group has provided its expertise to major companies in areas such as automotive, aerospace, defense, energy, finance, life sciences, railways and telecommunications.   In 2017, the Altran Group generated sales of EUR 2.9 billion.   With a workforce of over 45,000 employees, Altran is represented in more than 30 countries. our range Altran Digital is a strategic partner in the field of cross-sector solutions in IoT, Big Data & Analytics, Augmented Reality, Innovation & Design and Advanced Manufacturing.   Supporting digital transformation at our customers, we are eager to settle our reputation as a global innovation provider and integration partner around the globe. As a Consultant at Altran, we offer you: IT specialists, domain experts, and engineers Cross-industry end-to-end Aviation, Automotive, Energy, Life Sciences, and Telecommunication sector Exciting projects along the path of digitalization with the latest technology with 300 of the top 500 enterprises of the world Your tasks Designing innovative solutions for our clients and allowing them to gain new insights into their business and processes from Big Data Analytics to structured and unstructured data Support within the whole project life cycle from the development of use cases with our customers, delivery of new algorithms and applications until the deployment of the solution For Big Data Analytics bring along the required methodologies and work hand in hand with the Data Engineer and Big Data Architect to define the requirements As an experienced Data Scientist does not just advise the clients how to proceed in a Big Data project In order to visualize the results of the analysis you comfortable to work with different frontend tools your profile A university degree in mathematics, physics, statistics, computer science, or an equivalent qualification At least 2 years of experience in the field of Data Science and experienced with Big Data Practical experience applying advanced analytics, machine learning, and deep learning Solid technical expertise in R, Python, SQL and sound engineering of Big Data Architectures and Data Engineering technologies (Spark, Kafka, Hadoop) Business fluent in German and English and very good presentation and communication skills in the customer facing Please get in touch, if you have any questions! Isabel Balzer / Head of Recruiting Digital isabel.balzer@altran.com