Senior Data Engineer - Streaming Analytics (f/m/d)
Remote
RemoteFull TimeSenior LevelEnterprise
Full TimeSenior LevelEnterprise
Job Summary
Architect and operate large-scale ETL, streaming, and distributed data pipelines for vehicle telemetry and sensor data. Build scalable, cost-efficient, high-throughput pipelines for analytical, streaming, and AI workloads while evaluating new technologies to improve observability. Mentor engineers, provide technical guidance, and foster best practices in software and system design to drive ambiguous problems toward clarity. Collaborate closely with cross-functional teams to ensure reliable, efficient data infrastructure for the central data platform supporting Audi, Volkswagen, and Porsche. Fluent English and basic German skills required.
Required Qualifications
- M.S. in Data Engineering, Computer Science or a related field
- 10+ years of experience in distributed data architectures, especially designing and operating large-scale data systems using Spark or Databricks
- Proven hands-on experience with Kubernetes and Kafka and stream processing frameworks (Kafka Streams, Spark Streaming, Apache Flink)
- Experience working with event-driven architectures and data streaming and a deep understanding of streaming and batch data processing paradigms, including data ingestion from edge devices
- Fluent English (spoken and written) and basic German skills
Desired Qualifications
- Experience working with geospatial data, vehicle telemetry, or IoT-scale pipelines
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