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Data Science Talent is seeking a QA Engineer to shape testing practices across our technology stack. You will help define QA standards and implement both manual and automated testing for web, desktop, and API applications. Your work will help embed quality into the development lifecycle and improve delivery velocity.
Ideal candidates have strong .NET/C# skills, experience with CI/CD, and a proven ability to drive testing across multiple teams in an Agile environment.
4 days onsite + 1 day remote (commutable from Northamptonshire / Buckinghamshire / Oxfordshire / Bedfordshire)
Permanent - basic salary DOE, championship & race weekend bonuses, flexible onsite hours (10am - 3pm), pension (5%), daily lunch allowance, life insurance (4x salary), private healthcare, onsite gym & EV charging.
2.62 seconds. The time it takes to service an entire F1 racing car at the pit stop.
In Formula 1, every line of code, tool, and application you help develop has a direct impact on performance on the track. In a sport watched by over 525 million fans globally, even the smallest software gain can translate into meaningful lap time improvements.
You’ll be the third QA Engineer in a brand-new QA and Testing function, becoming an extra pillar in the Technology department, alongside Software Engineering, Platform Engineering, and Data Science.
You’ll contribute to the overall QA vision, supporting the direction of the function while helping shape testing approaches that are tailored to the needs of the technology platforms. This includes both manual and automated testing methods, ensuring software is robust, reliable, and race-ready.
You’ll test a range of software applications that support racing operations - including web-based tools, desktop applications, and APIs. Most of these applications are developed in C#, and the QA process involves validating their performance, reliability, and correctness with tools like Postman & Selenium.
As systems become more complex and interdependent, the need for rigorous testing and seamless integration is critical. By embedding quality assurance into the development lifecycle, you'll help reduce failure risk, increase velocity, and ultimately improve performance.
You’ll introduce and standardise testing methodologies, tools, and workflows across multiple development teams to ensure consistency and reliability. You will plan and execute end-to-end testing across a diverse technology landscape, ensuring that all components, regardless of origin, function reliably and with high performance.