At a Glance
- Tasks: Build and maintain data pipelines for cutting-edge automotive software development.
- Company: Join a forward-thinking team in the automotive tech space.
- Benefits: Enjoy excellent health coverage, flexible vacation, and family planning benefits.
- Other info: Collaborate with diverse teams in a dynamic, fast-paced environment.
- Why this job: Make an impact on the future of self-driving technology with innovative projects.
- Qualifications: Proficient in Python and experienced in cloud applications and data processing.
The predicted salary is between 60000 - 80000 £ per year.
The London Data Infrastructure team is looking for engineers passionate about enabling the next generation of automotive software development. The role focuses on building and maintaining data pipelines, ingesting large‑scale vehicle data, and supporting machine‑learning modeling for autonomous driving. The team is distributed across the UK and the US.
Responsibilities
- Work on high‑impact projects and innovate new solutions to problems in the self‑driving space.
- Collaborate with Computer Vision and Machine Learning engineers on high‑impact projects and innovate new solutions to problems in the self‑driving space.
- Understand 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.
Minimum Qualifications
- Extensive experience in Python (or another 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).
Preferred Qualifications
- 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.
- Knowledge of data pipelines, data platforms, workflow orchestration, and batch processing.
Benefits
- Excellent health, wellness, dental, and vision coverage.
- A rewarding pension.
- Flexible vacation policy.
- Family planning and care benefits.
Equal Opportunity Employer
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.
Software Engineer - Data Infrastructure employer: Woven by Toyota
At Woven by Toyota, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our employees to tackle complex challenges in the field of autonomy. Located at the forefront of AI and robotics, we offer competitive benefits including comprehensive health coverage, a rewarding pension plan, and a flexible vacation policy, all designed to support your well-being and work-life balance. Join us to not only advance your career through mentorship and growth opportunities but also to contribute to shaping the future of mobility in a diverse and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Data Infrastructure
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We think you need these skills to ace Software Engineer - Data Infrastructure
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Woven by Toyota.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Woven by Toyota and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Woven by Toyota
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Woven by Toyota uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
