Test Data Engineer

Job Location: Milton Keynes, Remote/Hybrid

Department: Data Technology

Closing Date: 15 December 2025

Weekly Working Hours: 37

Contract Type: Permanent

Fixed Term Contract: End Date: Not Applicable

Welsh Language: Not Applicable

The Open University is the UK’s largest university, a world leader in flexible part-time education combining a mission to widen access to higher education with research excellence, transforming lives through education. Find out more about us and our mission by watching this short video (you be taken to YouTube by clicking this link).

The strategic use of data is fundamental to achieving the Open University’s institutional goals. Reporting to the Director of Data Technology within the CIO Portfolio, this pivotal Test Engineering role will focus on establishing and operating the Data Technology Capability at the Open University.

This appointment requires a skilled professional in software and data quality assurance, with proven experience in modern testing frameworks—preferably within the Azure ecosystem—as well as strong expertise in test automation, quality engineering processes, defect management, and integration testing. The successful candidate will leverage these capabilities to ensure the delivery of robust, reliable, and high-performing data solutions.

The Test Engineer will be responsible for developing and executing test strategies for the Azure Data Platform and will act as the primary contact for all aspects of test planning, execution, and quality assurance across data pipelines and analytics services. Operating within the Chief Data Office, the role will also collaborate closely with other Open University teams to ensure that the platform meets the highest standards of quality, accuracy, and reliability in support of the University’s strategic and operational goals.

While this is not a lead role, it requires the ability to drive testing strategies independently. In the future, 2–3 testers may work under the postholder’s supervision. For now, we require one individual who can shape and lead our testing process with fresh ideas, introducing new technical approaches, including the use of AI.

• Lead testing for all aspects of Data Engineering, covering both functional and non-functional requirements.
• Develop and implement testing strategies, processes, and best practices within the team.
• Prepare detailed test plans, take ownership of assigned projects, and demonstrate initiative throughout the testing lifecycle.
• Plan, execute, and document tests within an Agile Software Development Lifecycle (SDLC).
• Provide timely approvals at quality gates and ensure all testing requirements are met.
• Manage defect reporting, tracking, and resolution efficiently.
• Collaborate with internal and external stakeholders to resolve issues and maintain quality standards.
• Drive test automation initiatives and encourage adoption of automated testing practices.
• Build and maintain governance reports, including Test Summary Reports.
• Support application deployments and assist during user adoption phases.
• Participate in resolving live issues and provide ongoing testing support.

• Strong passion for Testing and Quality Assurance.
• Hands-on experience with functional and non-functional testing – e.g., validating ETL logic and checking data transformations.
• Skilled in manual and automated testing techniques.
• End-to-end data pipeline testing experience – e.g., verifying data ingestion from source systems to data lakes.
• Knowledge of data classification and database testing.
• Understanding of modern testing methodologies and SDLC – e.g., working in Agile or CI/CD workflows.
• Ability to simplify and communicate complex issues – e.g., explaining data mismatches to non-technical stakeholders.
• Effective time and risk management.
• Collaboration and stakeholder management – e.g., coordinating with engineers and analysts to resolve defects.
• Strong communication and presentation skills.
• Self-motivated and proactive – e.g., identifying gaps in test coverage or suggesting automation improvements.
• Willing and able to embrace new ideas, learn new skills and adapt to changing situations or requirements
• Prior experience in the data domain – e.g., testing ETL pipelines, validating data ingestion from multiple sources, or ensuring data quality in analytics platforms.
• Certifications in automation testing – e.g., ISTQB, Selenium, or Azure Data Factory testing certifications that demonstrate expertise in automated validation of data workflows.
• Experience in identifying, researching, and analysing emerging testing trends and technologies – e.g., exploring AI-assisted test automation, data quality monitoring tools, or modern CI/CD testing frameworks to improve pipeline efficiency and reliability.

If you have any questions, or need support or adjustments relating to your application, the recruitment process, or the role, please contact us on or email quoting the advert reference number.

At The Open University, we offer a range of benefits to recognise and reward great work, alongside policies and flexible working that contribute towards a great work life balance. Get all the details of what benefits we offer by visiting our Staff Benefits page (clicking this link will open a new window).

We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working arrangement. Please reach out to us to discuss what works best for you.

It is anticipated that a hybrid working pattern can be adopted for this role, where the successful candidate can work from home and the office. However, as this role is contractually aligned to our Milton Keynes office it is expected that some attendance in the office will be required when necessary and in response to business needs. We’d expect this to be approximately two times per week.

We anticipate that interviews for this role will be taking place online via Microsoft Teams during the week commencing 5 January2026.

We may close this job advert earlier than the published closing date where a satisfactory number of applications are received. We would therefore encourage early applications.

To apply for this role please submit the following documents:

• CV
• A personal statement of up to 1000 words. You should set out in your statement why you are interested in the role and provide examples of where your skills and experience meet the requirments for this role as detailed within the essential criteria of the job description.

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The Open University is committed to equality, diversity and inclusion which is reflected in our mission to be open to people, places, methods and ideas. We aim to foster a diverse and inclusive environment so that all in our OU community can reach their potential. We recognise that different people bring different perspectives, ideas, knowledge, and culture, and that this difference brings great strength.We strive to recruit, retain and develop the careers of a diverse pool of students and staff, and particularly encourage applications from all underrepresented groups. We also aspire to make The Open University a supportive workplace for all through our policies, services and staff networks.