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Wayve

Data Engineer

Wayve · Germany

Posted about 3 months ago

or apply directly on Wayve's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Wayve's roles stay open a median of 76 days
Reposted
No
Salary listed
No
40% of Wayve's roles list one
Ghost-job risk at Wayve
high
165 stale, 1 reposted of 169 open
Hiring momentum
201 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.

About this role

As a Data Engineer at Wayve, you will design and deliver scalable data pipelines that transform large datasets into structured formats suitable for model-based autonomous driving. Your role involves data ingestion, quality assurance, and collaboration with Machine Learning engineers to enhance the performance and reliability of data systems. You will work in a hybrid environment, balancing time between the office and remote work, while contributing to innovative solutions in the field of autonomous driving.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.

What you need

  • 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.

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, manoeuvre and behavior labels, scene classification, event tagging, semantic understanding.

What you get

  • Hybrid working policy that combines time in the office and remote work.
  • Core working hours to determine a flexible schedule.

Worth weighing

  • No salary listed.
  • The role requires collaboration with interdisciplinary teams, which may involve navigating different perspectives and expertise.
  • The job involves working with complex data systems related to autonomous driving, which may require a steep learning curve for those unfamiliar with the domain.

Summarised from Wayve's posting. Read the full original.

Listed by Wayve on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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