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  • Munich +5 more
  • Munich +5 more

Welcome to our sector Life Sciences. Around 3,000 colleagues worldwide make their contribution to the most important thing in life: health. From the development of vaccines and the digitalisation of the health care system to forward-looking topics such as eHealth and digital therapeutics, we place our expertise in the pharmaceutical sector, medical technology and biotechnology at the service of our renowned customers. Are you the one to explore LIFE?


  • Exciting mix of projects in R&D and Digital Manufacturing, high learning effects as well as varied fields of activity from the world of Capgemini Engineering for the most renowned clients in Biopharma, MedTech and Consumer Health
  • High transparency in career development in an extremely dynamic work environment, where promotion opportunities and perspective have a great deal of scope
  • Appreciative, diverse work environment, individually tailored training opportunities, web-based training platform with internal and external training opportunities
  • Numerous networking opportunities via professional and technical communities, but also celebrating across locations is part of our culture (e. g. team events, summer party, kick-off events etc.).


  • You are a part of a global Life Science team, you will be working on the design and implementation of a new end-to-end data ecosystem for different business units of a pharmaceutical customer
  • You build cloud-native data platforms which serve as the basis for implementation of different use cases in R&D and Manufacturing
  • You design cross-divisional data architectures.
  • You define the data model types and curated models
  • You develop concepts for data integration
  • You are responsible for the conceptual design for automation of data pipelines
  • You work closely together with customers domains experts on solution for drug discovery, clinical study design, clinical trial planning and operations, self-service applications and automation for labs and anomaly detection


  • Degree in computer science, business informatics or a comparable IT education
  • Professional experience as a data architect in an enterprise environment
  • Know-how in the use of the AWS Data Engineering stack (e. g. Glue, Athena, Redshift)
  • Proficient with relational databases (e. g. DB2, Oracle, My SQL) and ideally hands-on experience with NoSQL databases (e. g. MongoDB)
  • Experience with Spark, Spark Streaming and Delta Lake
  • Solid experience in data engineering: building ETL processes, data connectivity to reporting…
  • Solid knowledge of streaming and message brokers e. g. Kafka
  • Good knowledge in the area of conceptual modeling and good programming skills, preferably in Python
  • Business fluent in English and very good presentation and communication skills, German skills are a plus

Do you have any questions about the job profile and/or requirements?
Please get in touch with your contact person in Recruiting.

Capgemini Engineering
Altran Deutschland S.A.S. & Co. KG Asaja Köppermann
+49 1748349917
[email protected]

Please fill in our online application form completely and attach your CV. We wish you every success for your application

About the company

Since 2020, Capgemini Engineering (formerly Altran) has been an integral part of Capgemini, a global leader in consulting, digital transformation, technology and engineering services. As a part of the Capgemini family and a global leader in engineering and R&D services, we bring the most powerful innovation for Intelligent Industry to the world of tomorrow: on the road, in the air, on the seas, in rail transport, in energy production, in life science, finance and telecommunications. We have more than 52,000 engineers and scientists in over 30 countries. Our mission to develop technology for an inclusive and sustainable future requires one thing above all: human energy! We want to grow. Are you a technology enthusiast, ambitious and would you like to be a part of something big? Are you the ONE for Capgemini Engineering?

Capgemini Engineering

Munich +5 more
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