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Data Engineer (Machine Learning)

wayve • Germany
Visa Sponsorship Relocation
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Join the Application Engineering team in Germany to build scalable data pipelines for autonomous driving technology. You will ingest and curate large-scale real-world and synthetic datasets to support model development and production ML workflows. Requirements include strong Python, SQL, and PySpark skills, along with experience in distributed data processing systems.

Key Highlights
Focus on localising and advancing autonomous driving technology for the German market
Build and optimize scalable data pipelines for production-scale learning systems
Collaborate with ML engineers and Data Corpus teams to drive scenario diversity and model iteration
Key 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, model-ready formats.
Develop data quality checks, validation processes, and monitoring to ensure datasets are high-quality, 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 pipelines with production systems.
Technical Skills Required
Python SQL PySpark
Benefits & Perks
Market-benchmarked salaries
Equity
Relocation support
Visa sponsorship
Hybrid working
Learning and development budgets
Health insurance
Dental insurance
Enhanced maternity and paternity leave
Retirement or pension
Nice to Have
Prior work in calibration, perception, imitation learning, or trajectory prediction
Experience with third-party dataset ingestion and transformation
Familiarity with automated driving data and scenario taxonomies, including ODD definitions and scene classification

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.We’re seeking an exceptional Data Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up.
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