Test Engineer

We're looking for talented Test Engineers and Senior QA / Test Engineers to join a growing technology team working across data transformation, cloud platforms and AI-enabled digital solutions.

These opportunities are ideal for technically strong testers who enjoy building reliable automation frameworks, validating complex data pipelines, and ensuring high-quality software delivery.

You'll support data and cloud transformation programmes, focusing on test automation, ETL processes and data quality.

• Design and implement automated tests for data pipelines, ETL processes and cloud-based platforms.
• Validate data accuracy, completeness and integrity across datasets.
• Develop and maintain automated tests using Python and pytest.
• Create and manage test data for ETL and data warehousing validation.
• Contribute to automation frameworks, code reviews and CI/CD pipelines.
• Support shift-left testing and continuous improvement.
• Work with cloud platforms and technologies including AWS, Azure and Kafka.

• Test automation experience across data and ETL processes.
• Strong SQL skills and experience with relational databases.
• Hands-on Python and pytest experience.
• Understanding of ETL, data warehousing and data validation.
• Exposure to BDD (Behave) and/or TDD.
• Experience with AWS and/or Azure.
• Knowledge of CI/CD pipelines, version control and modern development practices.
• Active SC clearance.

Experience in government or regulated environments and large-scale data transformation programmes would be advantageous.

You'll drive quality assurance and production readiness across a complex digital platform, combining traditional software testing with the evaluation of AI-enabled functionality.

• Define and execute functional, integration, regression and end-to-end test strategies.
• Develop and maintain automated test coverage across applications, APIs and workflows.
• Test APIs and integrations across internal and external services.
• Support UAT, defect management, release testing and production readiness.
• Evaluate AI-generated outputs for accuracy, relevance, consistency and groundedness.
• Assess Retrieval-Augmented Generation (RAG) and retrieval performance.
• Establish repeatable evaluation approaches and datasets for AI functionality.
• Investigate defects and provide quality evidence to support release decisions.

• Strong experience in QA, Test Engineering or Test Automation.
• Experience with Playwright, Cypress or Selenium.
• Strong API and integration testing skills, using tools such as Postman.
• Experience with SQL, CI/CD and tools such as Jira or Azure Dev Ops.
• Good understanding of web applications, APIs and modern application architectures.
• Strong analytical, problem-solving and stakeholder communication skills.
• Current, valid SC clearance.

If you're passionate about software quality, test automation, data engineering or AI-enabled platforms, we'd love to hear from you.