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Big Data Engineer - ML Analytics & Search (f/m/x)
Location: München, BY | Type: Hybrid | Salary: Competitive salary
A leading global automotive manufacturer known for premium mobility and innovation is looking for a Big Data Engineer - ML Analytics & Search (f/m/x). This role focuses on building the analytics and search infrastructure required to make petabytes of sensor data queryable for machine learning development. You will join a team dedicated to enabling rapid dataset assembly and high-scale model evaluation.
What you'll be doing
• Design high-performance search and query pipelines for petabyte-scale data lakes to identify driving scenarios and edge cases.
• Build and operate indexing systems for automotive sensor data, including signal-level indexing and embedding-based similarity search.
• Implement distributed compute pipelines for large-scale data evaluation, quality scoring, and distribution analysis.
• Develop automated dataset assembly pipelines to version and register training and evaluation datasets.
• Optimize storage and query performance through intelligent partitioning, caching strategies, and query pushdown.
What we're looking for
• University degree in Computer Science, Engineering, or a related field.
• 3–5 years of experience in big data or data engineering with a focus on analytics and search over large datasets.
• Proficiency in Python and SQL, with experience in at least one distributed compute framework.
• Technical expertise in columnar storage, query optimization, and vector/embedding search technologies.
• Production experience with Kubernetes, major cloud providers (AWS/Azure/GCP), and infrastructure-as-code.
What's on offer
• Opportunity to work on petabyte-scale data challenges in the autonomous driving sector.
• Collaborative environment within an innovative organization shaping the future of mobility.
• Access to advanced technologies in distributed computing, machine learning, and cloud infrastructure.
• Competitive compensation and professional development in a high-tech engineering field.
Apply via Hyra to be considered for this opportunity.
