Data Engineer

📋 Description

• Design and deliver scalable data pipelines for model development and production ML workloads in
• Ingest, transform, and curate large-scale real-world, synthetic, and partner datasets.
• Ensure data quality, validation, and monitoring across raw and processed datasets.
• Collaborate with ML engineers, Data Corpus, AI Platform, and external partners to integrate data
• Improve pipeline performance, reliability, and usability to accelerate ML iteration.
• Work within a hybrid office/home model in Leonberg with flexible hours.

🎯 Requirements

• Experience building and operating scalable data pipelines in production.
• Strong Python software engineering skills with well-tested code.
• Proficient in SQL and PySpark; experience with warehouse/OLAP concepts and Spark.
• Experience with modern data orchestration tools (Airflow, Flyte, Ray, etc.).
• Solid understanding of robotics/autonomous driving data concepts (sensor data, timestamping
• Familiarity with ML workflows (training data, evaluation datasets, scenario mining, model

🎁 Benefits

• Hybrid work policy combining office/workshops time with home working.
• Core working hours for flexible scheduling.
• Inclusive, diverse culture and supportive interview process.