Data Infrastructure Engineer for Autonomous Driving (Cloud/Python)

Woven By Toyota

City of Westminster

Hybrid

GBP 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Excellent health & vision coverage
Pension plan
Flexible vacation policy
Family planning benefits

Job summary

Woven By Toyota's London Data Infrastructure team seeks engineers to enable the next generation of automotive software development. You will engage with CV/ML peers, design scalable data platforms, and own critical data pipelines for large-scale vehicle data in the cloud.

The role emphasizes strong Python coding, distributed systems design, and collaboration across UK/US teams, with a focus on robust data processing and testing practices.

Qualifications

  • 5+ years of professional software engineering experience.
  • Hands-on experience developing cloud applications (AWS, GCP, Azure).
  • Experience writing testable and modular code.
  • Experience building reliable, distributed applications for Data Processing or similar areas.
  • Working with RPC protocols such as gRPC/protobuf.
  • Extensive experience in Python (or another OO language).

Responsibilities

  • Design the long-term strategy for several products.
  • Build efficient data pipelines for ingestion from the vehicle fleet.
  • Work on distributed systems that serve, process and transform data in the cloud.
  • Mentor junior engineers in day-to-day work.

Skills

Python
Distributed systems
Data pipelines
Cloud platforms
gRPC/protobuf
Testing
Mentoring
Cross-team collaboration

Tools

Flyte
BigQuery
ElasticSearch
Kafka
SQS

Job description

Woven By Toyota's London Data Infrastructure team seeks engineers to enable the next generation of automotive software development. You will engage with CV/ML peers, design scalable data platforms, and own critical data pipelines for large-scale vehicle data in the cloud.

The role emphasizes strong Python coding, distributed systems design, and collaboration across UK/US teams, with a focus on robust data processing and testing practices.

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