Data Engineer, Application Software

Overview

As a Data Engineer at Wayve, you design scalable data pipelines to turn diverse data sources into model-ready datasets for autonomous driving. You’ll ensure data quality and support ML workflows, collaborating with ML engineers and data teams to optimize ingestion and processing. Your work enables efficient model development, evaluation, and production deployment at scale. This role offers hands-on impact on real-world autonomy challenges and cross-functional collaboration.

Pay / Benefits

• salary benchmarks annually
• equity
• relocation support and visa sponsorship
• hybrid working, core hours
• learning and development budgets
• comprehensive health and wellbeing benefits

Responsibilities

• Build and improve scalable data pipelines for model development and ML workflows
• Ingest, transform, and curate large-scale real-world, synthetic, and partner data into structured formats
• Develop data quality checks, validation processes, and monitoring
• Curate and mine data to enhance scenario diversity and feature development
• Improve pipeline performance, reliability and usability to speed up iteration
• Collaborate with ML engineers, Data Corpus, AI Platform, and external partners to integrate pipelines with production systems

Key requirements

• Proven experience building and operating scalable data pipelines or distributed data processing systems in production
• Strong Python software engineering with maintainable and well-tested practices
• Proficiency in SQL and PySpark; experience with warehouse/OLAP concepts and Spark
• Experience with modern data pipeline architectures and DAG-based orchestration (Airflow, Flyte, Ray, etc.)
• Solid understanding of robotics and automated driving data concepts (sensor characteristics, timestamping, coordinate transformations, calibration, GNSS/IMU, odometry)
• Knowledge of machine learning development workflows (training data generation, evaluation datasets, scenario mining, model iteration)
• Excellent communication and collaboration skills

• strong collaboration
• clear communication
• problem-solving
• Python
• SQL
• PySpark

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