Test Data Engineer

Are you passionate about data quality and ready to shape the future of testing at a world-class institution? Join The Open University as a Test Engineer and play a pivotal role in delivering robust, reliable, and high-performing data solutions that support our strategic goals. About the Role 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. Key Responsibilities 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. About You Essential: 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 Desirable: 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. Why Join The Open University? At The Open University, we're proud to be pioneers in accessible education and digital innovation. This is your opportunity to shape testing strategies that underpin our data-driven future and make a lasting impact on our students and staff. Our benefits include: 33 days annual leave, on top of bank holidays and a three-day Christmas closure period Access to a leading pension scheme for UK higher education with generous employer contributions Staff Fee Waivers for OU study, meaning you could earn a degree for free Hybrid working, with limited requirement to attend the office in-person, with agile working and family friendly policies Discounts, wellbeing support, and development opportunities Ready to make an impact? Apply now and help us deliver data solutions that power the next generation of learning at one of the UK's most respected institutions.