Data Engineer | Data Engineer (m/w/d)
Rheinmetall AG
Job Summary
As a Data Engineer at Rheinmetall Digital GmbH, you will play a pivotal role in designing and implementing a robust Lakehouse architecture that balances high-performance data access with cost-effective storage. Your day-to-day responsibilities include building reliable data ingestion pipelines for large-scale Earth observation and sensor data, ensuring data quality through schema validation, and optimizing processing performance via advanced partitioning and tiling strategies. You will be responsible for establishing data governance, lineage, and versioning to ensure full reproducibility of datasets. This role is ideal for an analytical professional who enjoys solving complex challenges in distributed data environments. You will collaborate closely with cross-functional engineering and analytics teams to scale and improve the reliability of the company's data platform. The position offers a unique opportunity to work with cutting-edge data architectures in a supportive environment that values professional growth, including relocation assistance and comprehensive benefits at the Bremen location.
Required Skills
Education
University degree in Computer Science, Data Engineering, Business Informatics, or a comparable qualification.
Experience
- Several years of professional experience in data engineering and building large distributed data platforms
- Proven experience in the design and operation of modern data lake or lakehouse architectures for large data volumes
- Expertise in distributed data processing frameworks and performance optimization for large-scale workloads
- Practical experience in implementing data versioning, lineage tracking, and reproducible data workflows
- Experience in building reliable data ingestion pipelines and managing complex data transformation workflows
Languages
Additional
- Valid work permit for Germany required. Position is based in Bremen. Relocation support is provided.
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