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

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 digitalization 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?

If you're passionate about Life Sciences, then you've come to the right place!

YOUR TASKS AND RESPONSIBILITIES:

• You are a part of the 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 design viable architectures based on Microsoft Azure, AWS, Snowflake or Google and implement analyses with Power BI, Tableau or Qlik.
• You are the direct point of contact for our customers, advising on large R&D projects on all issues relating to architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Analytics and Data Engineering.
• You build cloud-native data platforms which serve as the basis for implementation of different use cases in R&D and Manufacturing.
• You work closely together with customers domains experts on solutions for drug discovery, clinical study design, clinical trial planning and operations, self-service applications and automation for labs, anomaly detection in production.

YOU CONVINCE US WITH:

• Degree in computer science, business informatics or a comparable IT education and at least 5 years of experience as a Cloud Architect / Data Warehouse Consultant / IT Architect in an enterprise environment.
• 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.
• Strong experience in data engineering: building ETL processes, data connectivity to reporting such as big data processing (Big Data) and cloud (AWS, GCP, Azure).
• Presentation and moderation skills as well as a confident attitude with clients and other stakeholders, strong attention to detail, ability to deliver high-quality work in a collaborative team environment, familiarity with Agile/Scrum methodologies and very good English skills. German language is an advantage.

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 Deutschland S.A.S. & Co. KG

Asaja Köppermann
+49 1748349917
[email protected]

Please fill in our online application form completely and attach your CV, work and school certificates as well as any other relevant documents. 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.