Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Data Engineer

Formula E
City of London
4 days ago
Create job alert
Overview

Ready to jumpstart your career? Strap in, we're looking for a Junior Data Engineer to join our unique 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 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

Were looking for a talented Junior Data Engineer to develop and maintain our data infrastructure, with a particular focus on our new Google Cloud partnership projects. You will work closely with cross-functional teams to design and build scalable data pipelines, optimise data models and ensure the quality and reliability of data across all systems. This role also offers the exciting opportunity to work on AI initiatives using Gemini and Vertex AI.


Key Responsibilities

  • GCP Data Pipeline Development: Design, build, and maintain scalable and robust data pipelines within Google Cloud Platform (GCP) to support various data initiatives.
  • AI Development: Work on AI projects, including those utilising Gemini and Vertex AI.
  • Data Modelling & Warehousing: Develop and optimise data models for efficient storage and retrieval in our data warehouse.
  • Collaboration on New Projects: Work closely with cross-functional teams to understand data requirements for new projects and translate them into technical solutions.
  • Data Quality & Governance: Ensure the accuracy, consistency, and reliability of data across all systems.

What we're looking for in you

  • Experience and Expertise: You have experience with GCP, specifically in data engineering and working with AI tools like Gemini and Vertex AI. You have proficiency in Python and SQL and you have experience in designing, building, and maintaining robust data pipelines.
  • Knowledge and Skills: You have knowledge of GCP services such as BigQuery, Cloud Run/Functions and Pub/Sub. You are familiar with Google's suite of AI tools. You also have strong data engineering knowledge using Python, SQL, Git, and Airflow.
  • Mindset and Adaptability: You have an analytical, proactive mindset with excellent problem-solving abilities. You're a collaborative team player who can work effectively with diverse teams and stakeholders. You are comfortable working in a fast-paced and evolving environment.

What's in it for you?

At Formula E, we offer a range of benefits and perks to enable you to make an impact in your role and to support your wellbeing and professional growth. Check out our benefits elsewhere.


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 21st October 2025, 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!


¡VAMOS!


If you require further assistance in accessing the application or require a different format of the application, please contact us. If this role isn’t quite for you but you want to join Formula E, connect with us to be the first to know of new opportunities!


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.