Staff Software Engineer Data Search

Woven by Toyota; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading automotive technology company in Greater London seeks engineers for its Data Search team. This role emphasizes working on self-driving technology and data systems, requiring excellent skills in Python and cloud application design. Candidates should also have a solid understanding of data processing and experience leading or mentoring teammates. The company fosters a diverse working environment and offers competitive benefits including health coverage and a flexible vacation policy.

Benefits

Excellent health, wellness, dental and vision coverage

A rewarding pension

Flexible vacation policy

Family planning and care benefits

Qualifications

• Experience with Python or another OOP language.
• Hands-on in cloud application development like AWS, GCP, or Azure.
• Expertise in building reliable, distributed applications.

Responsibilities

• Work on high-impact projects in self-driving technology.
• Design solutions for data impact in AD/ADAS development.
• Mentor engineers and shape the technical roadmap.

Skills

Python

Communication

Data processing

Tools

AWS

BigQuery

SnowFlake

Job description

Overview

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human‑centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software‑defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business‑critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well‑being for all.

Our data platform team is working on accelerating autonomous driving by providing access to petabytes of data collected by our fleet of autonomous and non‑autonomous vehicles. Efficient, fast and cost‑effective access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real‑world driving situations. The data ecosystem developed by the London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers.

Our ML and Data pipelines are built on‑top of the open‑source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and Elasticsearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working in the UK and US.

Team

Team

The London Data Search 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 and Observability.

Responsibilities

• 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
• Design and implementation of new solutions that increase the usage and the impact of data for AD/ADAS development for ML training and simulation
• Measure and increase the diversity of our data, working closely with our data scientists
• Work on distributed systems that serve, process and transform large quantities of data in the cloud
• Mentor other engineers in the team, set a high bar for engineering excellence
• Shape the technical roadmap of the team, influence and align overall technical strategy with data users in ML development and virtual validation

Minimum Qualifications

• Experience with Python (or other Object Oriented language)
• Experience building reliable, distributed applications for Data Processing or similar areas
• Hands‑on experience developing cloud applications (e.g. AWS, GCP, Azure)
• Experience with technologies like BigQuery and SnowFlake
• Strong communication and experience in cross‑functional collaboration

Preferred Qualifications

• Previous experience in managing small teams or equivalent leadership roles
• 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
• Experience on building ML pipelines

Benefits

• Excellent health, wellness, dental and vision coverage
• A rewarding pension
• Flexible vacation policy
• Family planning and care benefits

Commitment

• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.