Data Architect

**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**?

**THIS IS WHAT WE OFFER**
- 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.).

**THIS IS THE JOB**
- 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.

**THIS IS WHAT WE NEED**
- Degree in computer science, business informatics or a comparable IT education.
- At least 5 years of experience as a Cloud Data Engineer / 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.
- Profound 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
- Agile and solution-oriented way of working.
- Business fluent in English. German skills are a plus.

**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**
+49 1748349917
- 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._