Senior Automation Engineer - Data
Senior Automation Engineer - Data

Senior Automation Engineer - Data

London Full-Time 32000 - 46000 ÂŁ / year (est.) No home office possible
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At a Glance

  • 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: This role offers a chance to work with agile teams on real-time tracking and data warehousing solutions.

The predicted salary is between 32000 - 46000 ÂŁ per year.

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Join to apply for the Senior Automation Engineer – Data role at Hawk-Eye Innovations Ltd

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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

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

  • Industries

    Technology, Information and Internet

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Senior Automation Engineer - Data employer: Hawk-Eye Innovations Ltd

Hawk-Eye Innovations Ltd is an exceptional employer, offering a dynamic work environment where technology and sports intersect. With a hybrid working model, generous annual leave, and a commitment to employee wellness, we foster a culture of innovation and continuous learning. Our focus on collaboration and professional growth ensures that every team member can thrive while contributing to groundbreaking advancements in sports technology.
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Contact Detail:

Hawk-Eye Innovations Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Automation Engineer - Data

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, such as Pandas, Great Expectations, and AWS services. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during discussions.

✨Tip Number 2

Engage with the sports technology community online. Follow relevant forums, LinkedIn groups, or Twitter accounts to stay updated on trends and challenges in data testing for sports tech. This knowledge can help you demonstrate your passion and insight during interviews.

✨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 of how your contributions improved data quality or streamlined processes in past roles.

✨Tip Number 4

Consider reaching out to current employees at Hawk-Eye Innovations via LinkedIn. A friendly message expressing your interest in the role and asking about their experiences can provide valuable insights and potentially lead to a referral.

We think you need these skills to ace Senior Automation Engineer - Data

Expertise in validating complex datasets
Proficiency in Python and Pandas for data quality assurance
Experience with AWS services (S3, Glue, Athena, Redshift)
Ability to build scalable test automation frameworks
Knowledge of CI/CD pipelines and automation processes
Strong programming skills in SQL and scripting for data manipulation
Familiarity with Great Expectations or similar tools
Experience in automating API and backend testing workflows
Understanding of cloud-native architectures and best practices
Ability to create synthetic test data for comprehensive coverage
Experience with tools like Pytest and Postman
Skills in identifying testing gaps and proposing enhancements
Familiarity with testing live video streaming solutions
Collaboration skills to work with cross-functional teams

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Automation Engineer - Data 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 role. Mention specific projects or experiences that demonstrate your ability to build scalable test automation frameworks and collaborate with cross-functional teams.

Highlight Relevant Skills: In your application, emphasise your programming skills in Python, experience with CI/CD pipelines, and familiarity with tools like Great Expectations and Postman. This will show that you have the technical expertise needed for the position.

Showcase Continuous Improvement: Discuss any past experiences where you identified gaps in testing processes and implemented improvements. This aligns with Hawk-Eye Innovations' focus on fostering a culture of data quality and continuous enhancement.

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 areas Hawk-Eye Innovations values.

✨Understand the Company’s Technology

Familiarise yourself with Hawk-Eye Innovations' products and technologies, especially their use of computer vision and data analytics in sports. This knowledge will help you articulate how your skills can contribute to their mission of revolutionising sports technology.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Be ready to explain how you would approach testing strategies for AWS data lakes or automating data tests within CI/CD workflows, showcasing your critical thinking and technical prowess.

✨Emphasise Collaboration and Communication

Since the role involves working closely with cross-functional teams, highlight your experience in collaborative environments. Share examples of how you've effectively communicated complex technical concepts to non-technical stakeholders, which is crucial for ensuring data quality across teams.

Senior Automation Engineer - Data
Hawk-Eye Innovations Ltd
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