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# Software Engineer - Data Infrastructure

- **Company:** Woven
- **Location:** London, UK
- **Salary:** £83,270.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computer Vision, Microsoft Azure, Batch Processing, Cloud Computing, Data Infrastructure, Distributed Systems, Protocol Buffers, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Engineering, Workflow Management Systems, Data Processing, Google Cloud, Data Ingestion, Data Management, Automotive Software, Software Coding, Data Pipelines
- **Published:** October 18, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5933122886

## About the Role

The London Data Infrastructure team is looking for engineers who are passionate about and enable the next generation of automotive software development. The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software development across areas such as Data Infrastructure and Warehouses, Data Ingestion, Compute Frameworks, Observability and Build Infra., * Extensive experience in Python (or other Object Oriented language).

 * Experience building reliable, distributed applications for Data Processing or similar areas.
 * Working with RPC protocols such as gRPC/protobuf.
 * Hands-on experience developing cloud applications (e.g. AWS, GCP, Azure)., * Experience writing testable and modular code.
 * Experience working in a fast-paced environment, collaborating across teams and disciplines.
 * Experience designing, deploying, and maintaining distributed systems.
 * Data pipelines, data platforms, workflow orchestration, batch processing.

## Description

* Work on high-impact projects and innovate new solutions to problems in the self-driving space.
 * Work with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space.
 * Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs.
 * Build efficient data pipelines for ingestion from the vehicle fleet.
 * Work on distributed systems that serve, process and transform large quantities of data in the cloud.