Job description
Data Quality Assurance Engineer (6044)
About the Role
As a Quality Assurance Engineer, you will be responsible for testing the Data Platform and all related data products. Working closely with Data Engineers, Analytics Engineers and stakeholders across the business, you will help ensure solutions are robust, well‑tested and dependable before they reach users.
You will contribute to test strategies, shape quality standards and support continuous improvement across our testing frameworks and processes. This is an excellent opportunity for someone who is passionate about quality and wants to contribute to the foundations of a modern, evolving data environment.
What You’ll Do
- Plan, design and execute testing across the Data Platform and related data products
- Perform functional, integration and regression testing across platform deliveries
- Work closely with engineers to understand requirements and identify risks early
- Log, track and manage defects through to resolution
- Contribute to test strategies, test plans and quality standards
- Support continuous improvement in testing approaches, tooling and processes
- Help ensure platform releases meet agreed quality, performance and reliability standards
What We’re Looking For – Essential
- Experience working in a Quality Assurance or software testing role
- Experience testing data platforms, data pipelines or complex technical solutions
- Strong attention to detail with a structured, methodical approach to testing
- Ability to work collaboratively with engineers and technical stakeholders
- Confident communicator, able to clearly articulate issues and risks
- Experience working in Agile or delivery‑focused environments
Desirable
- Experience with test automation frameworks
- Familiarity with modern data technologies (e.g., Databricks, Azure Data Services)
- Understanding of data quality principles and validation approaches
- Experience working with CI/CD pipelines or automated deployment processes
We're proud of our values, and we're looking for people who share them
- Sub-Department:Data Engineering & Platforms
- Sub-Division:Data Architecture & Engineering
- Company:IM LLP
- Working Hours:Full Time
- Vacancy Type:Permanent
- Location:Leeds, Manchester, Sheffield
- Salary:Competitive



