Data Engineer, App SW

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. 🛠️ About our Data Engineering and Machine Learning Team 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. 🧠 Your day-to-day 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 aligned with standardized taxonomies and coordinate systems. Develop data quality checks, validation processes, and monitoring to ensure both raw data from our vehicle platforms and processed datasets are high-quality, complete, consistent, traceable, and fit for ML use cases. Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development. Improve pipeline performance, reliability, and usability, helping reduce bottlenecks and incre