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Data Engineer - Life Science (f/m/d)

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 design and develope end-to-end data pipelines as part of existing projects to operationalize AI at our customers.
  • You develope a flexible architecture that can cover different use cases.
  • You advise on the operation of existing and newly developed data pipelines in terms of the DevOps approach.
  • You guarantee the quality and consistency of the data processed.
  • You analyse, improve, and troubleshoot existing data pipelines.
  • You are responsible for all aspects of Data Management in close collaboration with our Data Science team.
  • You assist in the implementation of key data quality processes and metrics.


  • Successfully completed studies in the field of IT or comparable education.
  • At least 4 years of professional experience in the following technologies: ETL Development and Cloud Computing (AWS or GCP).
  • Extensive knowledge in Kafka, Spark or Databricks or GCP Big Data solutions like BigQuery and Dataflow as well as in an ETL tool (e. g. Talend).
  • Solid experience in big data processing (Big Data) and cloud technologies such as AWS Glue, AWS EMR, Azure Databricks / Synapse, or Cloud Dataflow.
  • Familiar with BI Tools like Power BI, Looker, Tableau.
  • Knowledge in DevOps technologies like Git, CICD solutions, Docker as well as Kubernetes.
  • Relevant experience in data pipelining as well as microservice and serverless architectures.
  • Experience in working with agile project methodologies.
  • Fluency in English. German is 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
[email protected]

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

_ Capgemini Engineering is committed to the employment of a diverse workforce. Qualified applicants are considered regardless of their origin, skin colour, religion, gender, age, sexual orientation, gender identity, gender expression, veteran status or disability._

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?

Asaja Köppermann | Contact Person

I'm interested
Capgemini Engineering

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