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 holidays.
- 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 £ 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 individuals' 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: Hybrid GCP AI Orchestration in London employer: Formula E
Contact Detail:
Formula E Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Engineer: Hybrid GCP AI Orchestration 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 sometimes open doors that applications can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects showcasing your GCP expertise and AI implementations, make sure to highlight them during interviews. It’s all about proving you can walk the talk!
✨Tip Number 3
Prepare for technical challenges! Brush up on your Python and data engineering skills, as you might face some hands-on tests. Practice makes perfect, so don’t leave it to chance!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of our mission to drive sustainable progress in motorsport!
We think you need these skills to ace Data & AI Engineer: Hybrid GCP AI Orchestration in London
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 innovative team.
Tailor Your Experience: Make sure to highlight your relevant experience with GCP and AI applications. We love seeing how your skills align with what we’re looking for, so don’t hold back on showcasing your past projects and achievements that relate to the role.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your qualifications and how they fit into the Data & AI Engineer position.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Formula E
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery and Vertex AI. Be ready to discuss how you've built production-grade data solutions and any challenges you've faced while doing so.
✨Showcase Your AI Skills
Prepare to talk about your hands-on experience with AI applications. Highlight specific projects where you've implemented models using Vertex AI or similar frameworks, and be ready to explain the impact of your work on fan engagement or data-driven decisions.
✨Demonstrate Your Orchestration Mastery
Be prepared to discuss your proficiency in developing AI agents and orchestration frameworks. Share examples of complex workflows you've automated and how they improved efficiency or performance in previous roles.
✨Emphasise Your DataOps Mindset
Talk about your experience with Git, CI/CD, and version control. Discuss how you've ensured data integrity and safety in your AI deployments, and be ready to explain your approach to maintaining low-latency access and rigorous documentation.