Senior Data Platform Engineer (Data Quality & Provenance)

wayve • Germany

Visa Sponsorship Relocation

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AI Summary

Design and operate petabyte-scale data pipelines and systems for autonomous driving, ensuring reliable, reproducible datasets for AI model training, evaluation, and safety analysis. Build scalable cloud-based data platforms with strong versioning, lineage, and observability while collaborating with ML, autonomy, and safety teams. Requires hands-on Python, SQL, and distributed systems expertise with experience in data quality, workflow orchestration, and large-scale data governance.

Key Highlights

Build and maintain petabyte-scale data pipelines for autonomous driving datasets (fleet and simulation data)

Define data standards, schemas, and APIs for cross-team collaboration in AI/ML, autonomy, and safety

Own data quality, lineage, reproducibility, and incident response for production data workflows

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Key Responsibilities

Design and operate scalable batch and streaming pipelines for multimodal fleet and simulation data

Build data models, catalogs, indexes, and query capabilities for sensor, vehicle-state, map, and event data

Develop versioned, reproducible datasets for training, evaluation, replay, scenario mining, and safety analysis

Create workflows for data ingestion, synchronization, transformation, curation, labeling, and quality validation

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

Improve reliability, performance, and cost efficiency of large-scale storage and compute workloads

Technical Skills Required

Python SQL Distributed Data Systems

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Benefits & Perks

Market-benchmarked annual salaries

Meaningful equity

Relocation support and visa sponsorship where applicable

Hybrid working with core hours

Comprehensive benefits including health insurance, dental, maternity/paternity leave, retirement, and wellbeing support

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Nice to Have

Experience with autonomous vehicles, ADAS, robotics, mapping, sensor-rich systems, geospatial data, or multimodal datasets

Production experience with distributed-processing technologies (e.g., Spark, Flyte, Airflow)

Cloud-based data platform design using object storage and distributed compute

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.

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