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- Tasks: Build and maintain automation frameworks for data validation in a dynamic sports tech environment.
- Company: Join Hawk-Eye Innovations, a leader in sports technology and innovation.
- Benefits: Enjoy 25 days annual leave, flexible working, and exclusive perks like sporting event access.
- Why this job: Make an impact in sports tech while developing your skills in a collaborative team.
- Qualifications: Experience with Python, SQL, and data testing; familiarity with AWS is a plus.
- Other info: Embrace a culture of openness, continuous learning, and career growth opportunities.
The predicted salary is between 45810 - 59990 £ per year.
Location: Hybrid working – minimum 2 days per week in the office. Office locations: Basingstoke, London or Bristol. Contract: Permanent, Full-Time. Salary: £45,810 – £59,990.
About the Role
We’re looking for a Data Test Automation Engineer to join our QA team, focusing on improving how we test and validate large volumes of tracking data across multiple sports. This role sits within a modern, cloud-based data environment, where data quality really matters. You’ll be working on building and evolving automation frameworks that validate data pipelines, APIs and datasets, helping ensure the accuracy and reliability of the data that powers our technology. You’ll start by focusing on building out a framework for core data validation checks, initially within one sport, with the goal of scaling that approach across others. Over time, the role will grow into more advanced areas such as data contract testing and working closely with downstream teams. You won’t be expected to know everything from day one. You’ll work alongside experienced QA engineers and developers, and you’ll get hands‑on with both manual and automated testing as you build confidence in our systems, data and workflows. Being UK‑based helps in this role, as many of our sports and teams are here. There will be opportunities to collaborate in person, whiteboard ideas, and build a strong understanding of how our data flows end to end.
What You’ll Be Doing
- Building and maintaining automation frameworks focused on data validation
- Testing data pipelines, APIs and datasets to ensure accuracy and consistency
- Working closely with engineers building Java/Spring Boot microservices
- Supporting testing across AWS data platforms (S3, Glue, Athena)
- Integrating automated tests into CI/CD pipelines
- Creating and managing synthetic test data to improve coverage
- Identifying gaps in current testing approaches and suggesting improvements
- Contributing to data quality metrics and validation strategies
- Helping teams adopt best practices in data testing
Skills, Knowledge and Experience
- Experience with data testing and validation using Python (Pandas) and SQL
- Experience contributing to or building automation frameworks (e.g. Pytest, Postman)
- Understanding of APIs and backend or microservice architectures
- Familiarity with AWS data services such as S3, Glue or Athena
- Experience working with CI/CD pipelines
- Strong problem‑solving skills and a proactive mindset
Nice to have:
- Exposure to tools like Great Expectations or similar
- Understanding of data quality principles and validation strategies
Our QA Team
Our QA team plays a key role in testing the technology behind everything we deliver, from officiating systems to broadcast tools and data platforms. We work across a wide range of areas including computer vision, machine learning, cloud platforms, video systems and data science. A big part of what we do is supporting tracking technology across sports like tennis, cricket, football and US sports, building systems that handle real‑time data, low latency processing and large‑scale data pipelines.
Team Culture
We’re a team that values openness, collaboration and continuous learning. We challenge each other through code reviews, share knowledge across teams and encourage people to take ownership while still working closely together. There are no strict silos, people move across areas, learn new things and grow over time.
Tech Stack (You’ll Be Around)
- Python, SQL
- AWS (S3, Glue, Athena, EC2, ECS)
- Java / Spring Boot microservices
- CI/CD (Jenkins, GitHub Actions)
- Docker
- Testing tools such as Pytest, Postman, Cypress and Selenium
Benefits
United Kingdom
- Annual Leave: 25 days (excluding bank holidays)
- Enhanced Pension Scheme: 5% matching
- Flexible Working: Hybrid model (minimum 2 days in the office per week)
- Wellness: Complimentary Unmind app, onsite gym (Basingstoke)
- Exclusive Perks: Access to sporting events and tickets, Sony Group company discounts
Hungary
- Annual Leave: Standard according to local labour law
- Flexible Working: Hybrid model (2 days per week in the office)
- Exclusive Perks: Access to sporting events and tickets, Sony Group company discounts
Additional Benefits:
- Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass)
- Private medical insurance, life and accident insurance
- MindentMent Dental Clinic discounts
- Seniority awards, and an Employee Assistance Program
About Us
Hawk‑Eye Innovations, a Sony company, is a world leader in sports technology. We deliver sophisticated officiating, broadcast and player tracking solutions across more than 25 international sports. Each year, our technology supports over 30,000 events in over 500 stadiums across 90 countries.
Equal Opportunity Statement
As an active part of a culturally and socially diverse society, Sony Sports Businesses aims to build a workforce that is diverse and inclusive. Sony Sports Businesses is an equal opportunity employer and supports workforce diversity. We employ, retain, promote and treat all employees and applicants fairly, based on their skills, qualifications and professional experience. Our commitment is to provide a respectful and inclusive environment where people can contribute, develop and succeed.
Data Test Automation Engineer in Basingstoke employer: Hawk-Eye Innovations Ltd
Contact Detail:
Hawk-Eye Innovations Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Test Automation Engineer in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Hawk-Eye Innovations. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to data testing and automation, make sure to highlight it during interviews. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical challenges! Brush up on your Python and SQL skills, and be ready to tackle some coding problems. We want to see how you think and solve issues on the spot.
✨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.
We think you need these skills to ace Data Test Automation Engineer in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Test Automation Engineer role. Highlight your experience with Python, SQL, and any automation frameworks you've worked with. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're passionate about data testing and how you can contribute to our QA team. Be sure to mention any relevant projects or experiences that showcase your problem-solving skills.
Showcase Your Technical Skills: In your application, don't forget to highlight your technical skills, especially with AWS services and CI/CD pipelines. We love seeing candidates who are proactive and have a solid understanding of data quality principles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Hawk-Eye Innovations Ltd
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python, SQL, and AWS services like S3 and Glue. Be ready to discuss how you've used these tools in past projects or how you would approach using them in this role.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in data testing and how you resolved them. This role requires strong problem-solving skills, so demonstrating your proactive mindset will impress the interviewers.
✨Understand the Company Culture
Research Hawk-Eye Innovations and their approach to collaboration and continuous learning. Be prepared to discuss how you can contribute to a team that values openness and knowledge sharing, as this aligns with their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, the team dynamics, and the projects you'll be working on. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.