Data Test Automation Engineer

Data Test Automation Engineer
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

Hi, I’m Priyanka Mondal, QA Discipline Lead at Hawk-Eye Innovations.

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 offi