Data & AI Engineer in London

Data & AI Engineer in London

London Full-Time 60000 - 80000 ÂŁ / year (est.) Home office (partial)
Formula E

At a Glance

  • Tasks: Design and build scalable data pipelines and AI applications on Google Cloud.
  • Company: Join Formula E, the world's fastest-growing sport focused on innovation and sustainability.
  • Benefits: Enjoy 25 days' leave, health cash plan, and flexible working options.
  • Why this job: Be part of a mission to revolutionise motorsport with cutting-edge technology and sustainability.
  • Qualifications: Experience in GCP, AI applications, and advanced programming skills required.
  • Other info: Hybrid role with opportunities for career growth and diverse team culture.

The predicted salary is between 60000 - 80000 ÂŁ per year.

Ready to race ahead in your career? Plug into our team as a Data & AI Engineer and power up our mission!

About Formula E: Formula E, the world's fastest-growing sport, is redefining motorsport with a bold focus on innovation and sustainability. Hosting over 100 races in iconic cities globally and backed by top manufacturers like Porsche and Jaguar, we feature elite drivers and cutting-edge EV technology. As the world's first sport certified Net Zero Carbon from inception, Formula E combines thrilling entertainment with a mission to advance sustainable progress, inspiring a global fanbase with our high-performance brand new GEN3 EVO race car capable of 0‑60mph in 1.82 seconds (0‑100kph in 1.86s). Using the spectacle of sport, we are sending a powerful and meaningful message to help alter perceptions and speed up the switch to electric mobility. Welcome to the home of Global Electric Street Racing.

The Role: Sitting at the heart of our exciting Google Cloud partnership, you will bridge the gap between robust data architecture and cutting-edge intelligence. As a Data & AI Engineer, you will own the end-to-end lifecycle of data-driven AI applications. This role is about more than just prompts; it’s about building the high-performance GCP data foundations that power autonomous orchestration frameworks.

  • Integrated Data & AI Pipelines: Design, build, and maintain scalable data pipelines within Google Cloud Platform (GCP) that serve as the backbone for real-time AI context and RAG systems.
  • Agentic Framework Development: Design and deploy autonomous AI agents and orchestration frameworks to automate complex workflows and revolutionise fan engagement.
  • GCP Ecosystem Mastery: Leverage the full Google suite—including Vertex AI, Agent Builder, and BigQuery—to create production-ready RAG (Retrieval-Augmented Generation) systems.
  • Vector & Relational Modelling: Develop and optimise vector databases and traditional data models (SQL/NoSQL) tailored for high-efficiency AI retrieval and LLM performance.
  • Strategic Architecture: Partner with technical and non-technical teams to identify where data-rich automation can drive high impact, translating racing and business needs into robust engineering solutions.
  • Hybrid Deployment & Governance: Take accountability for the performance, data integrity, and safety of AI deployments, ensuring low-latency access and rigorous documentation.

What we’re looking for in you:

  • GCP Data Engineering Foundations: Proven experience building production-grade data solutions on GCP, with deep knowledge of BigQuery, Cloud Run, and Cloud Functions.
  • AI Implementation: Hands-on experience building AI applications using Vertex AI (Model Garden, Studio) and implementing Gemini or other LLM architectures.
  • Orchestration Mastery: Proficiency in developing AI agents using Vertex AI Agent Builder, LangChain, or similar frameworks to manage complex logic flows.
  • Advanced Programming: Expert-level Python skills, specifically for data engineering, API development, and LLM integration.
  • Modern Data Stack: Experience with RAG architectures, managing Vector Databases (e.g., Vertex AI Search, Pinecone, or pgvector), and handling structured vs. unstructured data flows.
  • Engineering Excellence: A “DataOps” mindset—strong experience with Git, CI/CD, and version control for both code and data/model lineage.

A relevant Google Cloud certification (Professional Data Engineer or Professional Machine Learning Engineer) would be highly beneficial.

What’s in it for you?

  • 25 days' annual leave, Birthday day off and Wellbeing leave
  • Opportunity to extend your stay if travelling for a race event
  • Health Cash Plan and access to the Aviva Digital Workplace app
  • Enhanced Parental Leave
  • Flexible Bank Holidays
  • Paid volunteer and carer’s leave
  • Cycle to Work and Electric Car Scheme
  • Formula E store discount
  • Regular social events and employee working groups

This is a hybrid role and you'll be required to do 3 days a week in our Hammersmith London office.

Application Process: Think you’ve got what it takes to join our race to the future? The closing date for this role is 10th April, however if we receive a high volume of applications we may close it early. At Formula E, we are building a culture where every voice matters, every perspective accelerates progress, and every individual is empowered to rise, contribute boldly, and shape a better world - together. We will provide equal opportunities regardless of an individual's protected characteristics. We believe in attracting and retaining diverse talent to strengthen our global vision with a variety of experiences, backgrounds and perspectives. Our mission is clear. The message is simple. Whoever you are. However you live. Whatever you believe. Formula E. For the Future. For Everyone. We’ll see you at the starting line!

Data & AI Engineer in London employer: Formula E

At Formula E, we are not just redefining motorsport; we are creating a vibrant work culture that champions innovation and sustainability. As a Data & AI Engineer in our Hammersmith office, you will enjoy a range of benefits including 25 days' annual leave, flexible bank holidays, and opportunities for personal growth through hands-on experience with cutting-edge technology. Join us in a hybrid role where your contributions will directly impact the future of electric mobility while being part of a diverse team that values every voice.
Formula E

Contact Detail:

Formula E Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data & AI Engineer in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend events, and connect with current employees at Formula E. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or projects showcasing your data engineering and AI prowess, make sure to share them during interviews. It’s all about proving you can walk the talk!

✨Tip Number 3

Prepare for the technical grill! Brush up on your GCP knowledge and be ready to tackle some hands-on challenges. We love seeing candidates who can think on their feet and solve problems in real-time.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Formula E!

We think you need these skills to ace Data & AI Engineer in London

Google Cloud Platform (GCP)
BigQuery
Cloud Run
Cloud Functions
Vertex AI
AI application development
Python programming
DataOps mindset
Git
CI/CD
Version control
Vector databases
RAG architectures
LangChain
Autonomous orchestration frameworks

Some tips for your application 🫡

Show Your Passion: When you're writing your application, let your enthusiasm for data and AI shine through! We want to see how excited you are about the role and our mission at Formula E. Share why you’re keen to be part of our journey towards sustainable motorsport.

Tailor Your CV: Make sure your CV is tailored to the Data & AI Engineer role. Highlight your experience with GCP, AI applications, and any relevant projects you've worked on. We love seeing how your skills align with what we’re looking for!

Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the heart of your qualifications and experiences.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Formula E.

How to prepare for a job interview at Formula E

✨Know Your GCP Inside Out

Make sure you’re well-versed in Google Cloud Platform, especially BigQuery and Cloud Functions. Brush up on your experience with production-grade data solutions, as you'll need to demonstrate how you've built scalable data pipelines in the past.

✨Showcase Your AI Skills

Be prepared to discuss your hands-on experience with AI applications, particularly using Vertex AI. Bring examples of projects where you've implemented LLM architectures or developed autonomous AI agents, as this will be crucial for the role.

✨Demonstrate Your DataOps Mindset

Highlight your familiarity with Git, CI/CD, and version control. Share specific instances where you've managed both code and data/model lineage, as this reflects your commitment to engineering excellence and best practices.

✨Engage with the Company’s Mission

Familiarise yourself with Formula E's focus on sustainability and innovation. Be ready to discuss how your skills can contribute to their mission of advancing electric mobility and enhancing fan engagement through data-driven solutions.

Data & AI Engineer in London
Formula E
Location: London

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