Data Engineer Industrial Placement

For nearly 50 years, Williams F1 Team has pushed the limits of speed and innovation. As one of the most successful teams in F1 history, with 16 World Championships and a legacy shaped by legends like Sir Frank Williams and Nigel Mansell, we’re now on a bold mission to reclaim our place at the front and win multiple championships again.

Join a high-performance team where ambition and our people promise guide everything we do. In a fast-paced, challenging environment, your work directly shapes our winning formula. Collaborate with the brightest minds in motorsport, building on our rich heritage and pushing the boundaries of speed and innovation. We want people who live our values - innovation, teamwork, resilience, excellence, and accountability to create the winning formula that drives Williams F1 Team back to the top.

At Atlassian Williams F1 Team, our Industrial Placement gives ambitious students 12 months inside Formula 1. You’ll take on real responsibility with projects that shape the future car and our business. Grow with a cohort from day one, then head back to uni with experience you can apply immediately. Join a high-performance team, push boundaries, make an impact.

At Williams, bespoke software tools quietly power performance across the car, delivering impact you can feel, not always see. The Engineering Team enables these tools, by creating Data Products used across Williams and collaborating with teams to support key areas like Aerodynamics, Vehicle Dynamics, and Vehicle Performance. Together, they turn data into decisions and innovation into speed.

On this 12-month placement you join the Data Engineering team and work alongside the Software Engineering teams to build and maintain the data pipelines behind the wider Data Platforms at Williams. You apply what you have learned at university in a live engineering environment, developing practical skills in data engineering, cloud platforms and software development. Your work feeds directly into day-to-day delivery and decisions across the team.