Data Engineer, App SW

Highlights

• Build data pipelines powering model-based autonomous driving systems.
• Help localise and advance Wayve AV technology for German market.
• Curate diverse driving scenarios to boost safety and personalization.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity sharing in long-term success
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours and hands-on work in workshops and labs
• Learning and development budgets for training and conferences
• Comprehensive benefits including health, dental, parental leave, pension, wellbeing support and team socials

Ideal candidate

A collaborative data engineer excited by autonomous driving who thrives in ambiguous, fast-moving environments and takes ownership of reliable data systems that accelerate ML iteration.

Requirements

• Proven experience building and operating scalable data pipelines in production
• Strong software engineering skills in Python with maintainable, tested practices
• Proficient in SQL and PySpark including warehouse/OLAP and window functions
• Experience with DAG orchestration such as Airflow, Flyte or Ray
• Understanding of robotics and driving data including sensors, timestamping, calibration, coordinates and GNSS/IMU/odometry
• Understanding of ML workflows including training data, evaluation and scenario mining
• Excellent communication and collaboration with interdisciplinary teams