Big Data Engineer - ML Analytics & Search | Big Data Engineer - ML Analytics & Search (f/m/x)
BMW AG
Job Summary
As a Big Data Engineer at the BMW Group, you will play a critical role in shaping the future of data-driven mobility by managing petabyte-scale automotive sensor data. Your day-to-day responsibilities involve designing and building high-performance search and query pipelines that allow ML engineers to query billions of records in seconds. You will build indexing systems for metadata extraction, develop distributed compute pipelines for data evaluation, and optimize storage strategies for cost and performance. This role is highly technical, requiring the implementation of observability stacks and dataset assembly pipelines to support machine learning models. The position is particularly attractive due to the scale of the data (PB-scale), the opportunity to work with cutting-edge automotive technologies like MDF4 and MCAP, and a comprehensive benefits package including profit sharing, flexible working hours, and discounted vehicle conditions at one of the world's leading premium manufacturers.
Required Skills
Education
University degree in Computer Science, Engineering, or a related field.
Experience
- 3–5 years in big data or data engineering with a focus on analytics and search over very large datasets
- Professional experience with columnar or analytical storage and query optimization at PB scale
- Production experience with Kubernetes and major cloud providers (AWS, Azure, or Google Cloud)
- Hands-on experience with infrastructure-as-code and dataset management tools
- Experience with automotive measurement data formats such as MDF4/ASAM MDF or MCAP
Languages
Additional
- The role requires expertise in handling petabyte-scale data lakes and specific automotive data standards. Applications must be submitted exclusively through the online career portal.
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