Data Engineer, Data Quality & Provenance

📋 Description

• Design and operate scalable batch and streaming pipelines for multimodal fleet and simulation data.
• Build data models, catalogues, indexes, and query capabilities that make sensor, vehicle-state
• Create versioned, reproducible datasets for training, evaluation, replay, scenario mining, and
• Develop workflows for data ingestion, synchronization, transformation, curation, labeling, and
• Partner with autonomy, ML, simulation, and safety engineers to define schemas, APIs, and data
• Improve the reliability, performance, and cost efficiency of large-scale storage and compute

🎯 Requirements

• Strong hands-on Python and SQL skills, supported by solid production software-engineering
• Experience designing and operating large-scale distributed data systems beyond small analytics or
• Production experience with distributed-processing and workflow-orchestration technologies such as
• Experience building cloud-based data platforms using object storage and understanding data
• Ownership of data quality, lineage, observability, reproducibility, and incident response for
• Ability to translate ambiguous requirements from ML, data-science, robotics, or similarly technical

🎁 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