---
title: "Data Engineer, Data Quality & Provenance"
company: "Wayve US"
company_url: "https://www.remjobs.works/companies/wayve-us"
url: "https://www.remjobs.works/job/wayve-us-data-engineer-data-quality-provenance-bac7781e-2f7b-42b9-9c33-e66f0afae6f2"
apply_url: "https://jobs.ashbyhq.com/wayve/e9c191ee-5536-4f79-87ac-8a907986d688"
workplace: onsite
location: "Leonberg, Germany"
employment_type: full-time
seniority: mid
role: data
region: europe
skills: ["airflow", "python", "sql"]
date_posted: 2026-09-16T16:37:19.542Z
first_seen_by_remjobs: 2026-09-16T17:25:25.390Z
---

# Data Engineer, Data Quality & Provenance

**Wayve US** · Leonberg, Germany

Apply: https://jobs.ashbyhq.com/wayve/e9c191ee-5536-4f79-87ac-8a907986d688

## About the role

#### The role

As a Data Engineer focused on Data Quality & Provenance, you will build the data foundation that enables Wayve’s autonomous-driving development. You’ll turn vast volumes of fleet and simulation data into trusted, discoverable and reproducible datasets that ML, autonomy, simulation and safety teams can use with confidence. This is a high-impact opportunity to define the data products, standards and operating model behind embodied intelligence at petabyte scale.

Key responsibilities:

- Design, build and operate scalable batch and streaming pipelines for multimodal fleet and simulation data.

- Create data models, catalogs, indexes and query capabilities that make sensor, vehicle-state, map and event data easy to discover and use.

- Build versioned, reproducible datasets for training, evaluation, replay, scenario mining and safety analysis.

- Develop robust workflows for data ingestion, synchronisation, transformation, curation, labelling and data-quality validation.

- Partner with autonomy, ML, simulation and safety engineers to define schemas, APIs and data contracts.

- Establish strong standards for lineage, observability, access controls, retention and cost management across the data platform.

- Improve the performance, reliability and unit economics of large-scale storage and compute workloads.

#### About you

In order to set you up for success as a Data Engineer, Data Quality & Provenance at Wayve, we’re looking for the following skills and experience.

Essential

- Strong hands-on Python and SQL skills, with solid production software-engineering fundamentals.

- Experience designing and operating large-scale distributed data systems, beyond small-scale analytics or reporting pipelines.

- Hands-on experience with distributed processing and workflow orchestration technologies, such as Spark, Flyte, Airflow or equivalent tools.

- Experience building and operating cloud-based data platforms using object storage, including data organisation, versioning, querying, governance and cost management.

- Proven ownership of data quality, lineage, observability, reproducibility and incident response for production data workflows.

- Experience translating ambiguous requirements from ML, data-science, robotics or similarly technical teams into durable, reusable platform capabilities.

- Comfort operating in ambiguity and helping define the boundaries, standards and ways of working for a growing data platform.Desirable

- Experience in autonomous vehicles, ADAS, robotics, mapping, drones or another sensor-rich domain.

- Familiarity with time-synchronised sensor data, geospatial data, or multimodal datasets.

- Understanding of ML training, evaluation, simulation or closed-loop development workflows.This is a full-time role based in our office in Leonburg, Germany. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

---

Source: Wayve US's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/wayve-us-data-engineer-data-quality-provenance-bac7781e-2f7b-42b9-9c33-e66f0afae6f2