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- Tasks: Develop scalable test automation frameworks and validate complex data systems in sports technology.
- Company: Hawk-Eye Innovations revolutionises sports with cutting-edge technology for officiating and broadcasting.
- Benefits: Enjoy flexible working, wellness perks, and exclusive access to sporting events.
- Why this job: Join a culture of innovation and collaboration while shaping the future of sports technology.
- Qualifications: Expertise in Python, AWS, and data validation tools like Pandas required.
- Other info: Hybrid working model with 25 days annual leave plus public holidays.
The predicted salary is between 43400 - 55400 £ per year.
Senior Test Automation Engineer – Data
Salary: £53,460 – £69,500
Join Our Team as a Senior Data Test Automation Engineer at Hawk-Eye Innovations
Are you passionate about cutting-edge technology, sports, and driving quality? At Hawk-Eye Innovations, we revolutionise sports through innovative solutions, from computer vision to video replay systems. Our technology shapes officiating, data insights, broadcasting, and entertainment across global sports.
Join our agile, cross-functional teams to enhance testing practices across cloud-native microservices and data platforms. You\’ll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across our sports technology ecosystem.
What Your Day Will Look Like
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Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules.
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Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures.
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Implement testing strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus on schema evolution, data quality rules, and performance benchmarks, prioritizing data lake testing over traditional SQL approaches.
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Automate data tests within CI/CD workflows to enable continuous build, validation, and deployment.
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Create tools for synthetic data generation to simulate real-world scenarios and ensure comprehensive coverage.
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Collaborate to set, measure, and track key data quality metrics for reliable performance.
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Identify gaps in existing approaches and implement improvements aligned with best practices.
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Proactively refine testing strategies and share actionable insights to boost overall quality.
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Clearly explain data testing methodologies and train teams to independently implement and use the automation frameworks.
Skills, Knowledge, and Expertise
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Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance.
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Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest and Postman.
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Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes.
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Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices.
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Advanced skills in automating API and backend testing workflows, ensuring robust and reliable system interactions.
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Extensive experience integrating automated data testing processes into CI/CD pipelines for seamless build and deployment cycles.
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Strong programming skills in Python, with additional experience in SQL and scripting for data manipulation and validation.
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Familiarity with Great Expectations (or similar), Postman, and synthetic data generation frameworks.
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Expertise in identifying testing gaps, proposing enhancements, and fostering a culture of data quality and continuous improvement across teams.
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Familiarity with testing live video streaming solutions, focusing on performance, low latency, and seamless user experiences would be advantageous
Our Tech Stack
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C++/Computer Vision: C++17/20, Qt, Boost, ZeroMQ, ElasticSearch.
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Web: Java, Node.js, RESTful APIs, JUnit.
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General: Git, Docker, AWS, Jenkins, GitHub Actions.
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ML: Python, TensorRT.
Our agile teams work with the latest technologies to build solutions for sports like tennis, cricket, football, and more. You’ll collaborate on projects like real-time tracking, data warehousing, and broadcast enhancements, all in a culture of openness, learning, and innovation.
UK Benefits:
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Annual Leave: 25 days + 8 public holidays
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Enhanced Pension Scheme: 5% matching
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Flexible Working: Hybrid model (2 days in the office per week)
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Wellness: Complimentary Unmind app, onsite gym (Basingstoke)
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Exclusive Perks: Access to sporting events and tickets, Sony Group Company
discounts
Hawk-Eye Innovations is an equal opportunities employer, committed to creating an inclusive environment where everyone is treated fairly and equally.
Apply now and help us redefine sports technology with innovation and excellence.
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Senior Data Test Automation Engineer employer: Hawk-Eye Innovations Ltd
Contact Detail:
Hawk-Eye Innovations Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Test Automation Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Pandas and AWS services. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during discussions.
✨Tip Number 2
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences at Hawk-Eye Innovations can provide valuable insights and potentially give you a referral.
✨Tip Number 3
Prepare to discuss your previous experiences with CI/CD pipelines and how you've integrated automated testing into them. Be ready to share specific examples that demonstrate your problem-solving skills and ability to enhance data quality.
✨Tip Number 4
Stay updated on the latest trends in data testing and automation. Being able to discuss recent advancements or best practices in the industry during your interview can showcase your passion and commitment to continuous improvement.
We think you need these skills to ace Senior Data Test Automation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data validation, test automation frameworks, and tools like Pandas and Python. Emphasise your expertise in AWS services and CI/CD pipelines, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports technology and how your skills align with the company's mission. Mention specific projects or experiences that demonstrate your ability to enhance testing practices and ensure data quality.
Showcase Relevant Projects: If you have worked on projects involving data lakes, automated testing, or cloud-native architectures, be sure to include these in your application. Detail your contributions and the impact they had on the project's success.
Highlight Continuous Improvement: Discuss any initiatives you've led or participated in that focused on improving testing strategies or data quality. This shows your proactive approach and commitment to excellence, which is highly valued by Hawk-Eye Innovations.
How to prepare for a job interview at Hawk-Eye Innovations Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with tools like Pandas, SQL, and AWS services. Highlight specific projects where you've built scalable test automation frameworks or validated complex datasets, as this will demonstrate your expertise in the field.
✨Understand the Company’s Tech Stack
Familiarise yourself with Hawk-Eye Innovations' tech stack, including Java, Python, and cloud-native architectures. Showing that you understand their technology will help you connect your skills to their needs during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding data quality and testing strategies. Be ready to explain how you would approach testing data lakes or automating tests within CI/CD workflows.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, be sure to share examples of how you've successfully collaborated with developers and QA teams in the past. This will show that you can thrive in an agile environment.
