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- Tasks: Develop scalable test automation frameworks and validate complex data systems in a dynamic sports tech environment.
- Company: Hawk-Eye Innovations revolutionises sports with cutting-edge technology, enhancing officiating and broadcasting globally.
- Benefits: Enjoy hybrid working, 25 days annual leave, wellness perks, and exclusive access to sporting events.
- Why this job: Join an innovative team shaping the future of sports technology while collaborating on exciting projects.
- Qualifications: Expertise in Python, AWS, and data validation tools like Pandas; experience in CI/CD pipelines is essential.
- Other info: Be part of a culture that values openness, learning, and continuous improvement in a diverse workplace.
The predicted salary is between 32000 - 46000 £ per year.
Join to apply for the Senior Automation Engineer – Data role at Hawk-Eye Innovations Ltd
Join to apply for the Senior Automation Engineer – Data role at Hawk-Eye Innovations Ltd
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Direct message the job poster from Hawk-Eye Innovations Ltd
Talent Acquisition Partner at Sony Sports Businesses
Hybrid – 2 days a week in the office.
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
- Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules.
- Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures.
- 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.
- Automate data tests within CI/CD workflows to enable continuous build, validation, and deployment.
- Create tools for synthetic data generation to simulate real-world scenarios and ensure comprehensive coverage.
- Collaborate to set, measure, and track key data quality metrics for reliable performance.
- Identify gaps in existing approaches and implement improvements aligned with best practices.
- Proactively refine testing strategies and share actionable insights to boost overall quality.
- Clearly explain data testing methodologies and train teams to independently implement and use the automation frameworks.
Skills, Knowledge, and Expertise
- Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance.
- 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.
- Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes.
- Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices.
- Advanced skills in automating API and backend testing workflows, ensuring robust and reliable system interactions.
- Extensive experience integrating automated data testing processes into CI/CD pipelines for seamless build and deployment cycles.
- Strong programming skills in Python, with additional experience in SQL and scripting for data manipulation and validation.
- Familiarity with Great Expectations (or similar), Postman, and synthetic data generation frameworks.
- Expertise in identifying testing gaps, proposing enhancements, and fostering a culture of data quality and continuous improvement across teams.
- Familiarity with testing live video streaming solutions, focusing on performance, low latency, and seamless user experiences would be advantageous
- Web: Java, Node.js, RESTful APIs, JUnit.
- General: Git, Docker, AWS, Jenkins, GitHub Actions.
- 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.
- Annual Leave: 25 days + 8 public holidays
- Enhanced Pension Scheme: 5% matching
- Flexible Working: Hybrid model (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
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.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
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Job function
Information Technology
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Industries
Technology, Information and Internet
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Senior Data 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 Automation Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Pandas, AWS services, and Java/Spring Boot. 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 at Hawk-Eye Innovations through platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with CI/CD workflows and how you've integrated automated testing in previous roles. Be ready to share specific examples that demonstrate your ability to enhance data quality and reliability.
✨Tip Number 4
Stay updated on the latest trends in data automation and sports technology. Being able to discuss recent advancements or challenges in the field can show your passion and commitment to the role during your interview.
We think you need these skills to ace Senior Data Automation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Automation Engineer role. Focus on your expertise in data validation, automation frameworks, and tools like Pandas and AWS services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports technology and your understanding of the company's mission. Mention specific projects or experiences that demonstrate your ability to enhance testing practices and ensure data quality.
Highlight Technical Skills: Clearly list your technical skills related to the job description, such as Python, SQL, AWS analytics services, and experience with CI/CD pipelines. Use examples from past roles to illustrate your proficiency.
Showcase Collaboration Experience: Emphasise your ability to work within cross-functional teams. Provide examples of how you've collaborated with development teams to implement automated tests and improve data quality, as this is crucial for the role.
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.
✨Understand the Company’s Technology
Familiarise yourself with Hawk-Eye Innovations' products and technologies. Knowing how their solutions impact sports officiating and broadcasting will help you demonstrate your passion for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach testing data lakes or automating CI/CD workflows, and be ready to explain your thought process.
✨Emphasise Collaboration and Communication
Since the role involves working closely with cross-functional teams, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated technical concepts to non-technical stakeholders.
