Data Engineer, App SW

About the role

Wayve is seeking a Data Engineer to join their Germany-based Application Engineering team to localize and advance autonomous driving technology. You will build and improve scalable data pipelines to support model development, evaluation, and production machine learning workflows. This role involves curating large-scale datasets and collaborating with cross-functional teams to ensure high-quality, reliable data for autonomous driving systems.

Responsibilities

• Build and improve scalable data pipelines that support model development, evaluation, and production ML workflows for autonomous driving.
• Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, reliable, and model-ready formats.
• Develop data quality checks, validation processes, and monitoring to ensure data is high-quality, complete, consistent, and traceable.
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
• Improve pipeline performance, reliability, and usability to reduce bottlenecks and increase iteration velocity.
• Collaborate with Machine Learning engineers, Data Corpus, AI Platform, and external partners to integrate data pipelines with production-scale learning systems.

Required skills

• Python
• SQL
• PySpark
• Data pipelines
• Distributed data processing
• Workflow orchestration
• Airflow
• Flyte
• Ray
• Robotics data concepts
• Machine learning workflows

Nice to have

• Calibration
• Perception
• Imitation learning
• Trajectory prediction
• Third-party dataset ingestion
• Scenario taxonomies

Benefits

• Health insurance
• Dental insurance
• Enhanced maternity and paternity leave
• Retirement or pension
• Learning and development budget
• Relocation support
• Visa sponsorship
• Wellbeing partnerships

About the Company

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The company aims to make autonomy universal by developing a mapless and hardware-agnostic AI platform that integrates with global OEM partners.