5 days ago
Stuttgart, Germany +3 moreSenior
Responsibilities
- Develop and operate modern data pipelines and scalable data platforms.
- Process, integrate, and model large volumes of data for analytics and AI applications.
- Implement production-ready Data and AI solutions and support their successful operation.
- Ensure data quality, security, and reliable operation across the data landscape.
- Collaborate with engineers, architects, and customer teams to turn technical requirements into sustainable solutions.
Requirements
- Completed degree in Computer Science, Business Informatics, Data Science, Artificial Intelligence, or a comparable STEM field.
- Several years of practical experience in Data Engineering or AI Engineering.
- Strong knowledge of Python or Scala and SQL.
- Experience with modern data, cloud, or AI technologies such as Spark, Databricks, or AWS Glue.
- Fluent German and English skills and willingness to travel within Germany for projects.
Benefits
- Professional development through specialist training, mentoring, and innovative projects.
- Flexible work location depending on the project and team arrangements, with flexible working hours at various sites.
- Diverse, open, and supportive team environment.
- Position is offered through Arbeitnehmerüberlassung (AÜG) for a customer project.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.