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

Key Skills

Agile methodologies, Amazon EMR, Apache Kafka, AWS, AWS Glue, Azure, Continuous Integration & Continuous Delivery - CI/CD, Databricks, DevOps, Docker, English Proficiency, ETL/ELT technologies, German Language, Git, Google BigQuery, Google Cloud Platform (GCP), Kubernetes-K8s, Looker, PowerBI, Spark Core, Tableau

Job Description

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?

YOUR TASKS AND RESPONSIBILITIES WITH US

• 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.

YOU CONVINCE US WITH

• 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.

Not a 100% match? No need to worry! Capgemini Engineering supports you with a wide range of learning opportunities so that you can develop both professionally and personally.

WE LOOK FORWARD TO MEETING YOU

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
• +491748349917
• asaja.koeppermann@capgemini.com

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