# Data Engineer, App SW **Company**: Wayve **Location**: Leonberg **Work arrangement**: hybrid **Job type**: full-time **Category**: Engineering **Industry**: Automotive **Apply**: https://jobs.ashbyhq.com/wayve/5b53e31e-3903-4c9b-b359-ffbc8a186630?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_ef7b0b4b-4d8 ## Description We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. 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. **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 increase iteration velocity across ML development. - Collaborate closely with Machine Learning engineers, Data Corpus, AI Platform, and external partners to ensure data pipelines integrate effectively with production-scale learning systems. **What you'll be working on** As a Data Engineer within the Machine Learning team in Application Software, you'll contribute to critical initiatives that push the frontier of model-based autonomous driving,both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration. **Essential skills** - Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments. - Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices. - Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing. - Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar. - Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry. - Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration. - Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams. **Desirable skills** - 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, maneuver and behavior labels, scene classification, event tagging, semantic understanding. **Benefits** - Salaries benchmarked against the market annually - Meaningful equity, sharing in the ownership and long term success of Wayve - Relocation support and visa sponsorship where applicable - Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs - Learning and development budgets with support for training, conferences and growth - Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more ## Skills ### Required - Python - SQL - PySpark - Airflow - Flyte - Ray - data pipeline architectures - machine learning development workflows - robotics and automated driving data concepts ### Nice to have - calibration - perception - imitation learning - trajectory prediction - third-party dataset ingestion and transformation - automated driving data and scenario taxonomies --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/wayve/5b53e31e-3903-4c9b-b359-ffbc8a186630?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)