HR Master Data Lead (Workday

The Open University; City of Westminster; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A prominent educational institution is seeking a Test Engineer to support their Data Technology team. This role involves developing test strategies for the Azure Data Platform and ensuring quality across data pipelines. Candidates should have expertise in functional and non-functional testing, as well as experience in automation. The position offers flexible hybrid working and a strong focus on collaboration within teams. Ideal for those eager to implement innovative testing approaches in a dynamic environment.

Benefits

33 days annual leave

Pension scheme with employer contributions

Staff Fee Waivers for OU study

Hybrid working policies

Discounts and wellbeing support

Qualifications

• Hands-on experience with functional and non-functional testing.
• Skilled in manual and automated testing techniques.
• End-to-end data pipeline testing experience.

Responsibilities

• Lead testing for all aspects of Data Engineering.
• Develop and implement testing strategies and processes.
• Collaborate with stakeholders to resolve issues.

Skills

Testing and Quality Assurance

Functional and non-functional testing

Test automation

Data pipeline testing

Collaboration and stakeholder management

Tools

Selenium

Azure Data Factory

Job description

Overview

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.,

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.

Qualifications

• 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.
• Desirable: Certifications in automation testing – e.g., ISTQB, Selenium, or Azure Data Factory testing certifications that demonstrate expertise in automated validation of data workflows.
• Desirable: 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.

Benefits

• 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.