Data Engineer, Data Quality & Provenance
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 cont
