Lead QA Engineer

We are looking for an experienced QA Engineer to lead the testing approach across a large-scale enterprise systems integration programme for a leading facilities management client. Working closely Integration Engineers and Data Engineers you will be responsible for designing and implementing a structured test strategy that covers the full integration lifecycle from unit and component testing through to system integration testing UAT coordination and regression. 

This is a hands-on role that requires both technical depth and strong organisational skills. You will own the testing workstream end-to-end across seven domain delivery waves ensuring that integrations are thoroughly validated before deployment and that the clients business users are well supported through UAT. The ideal candidate brings proven experience testing event-driven integrations in Azure environments and is comfortable working at the intersection of data engineering API integration and enterprise application connectivity. 

Responsibilities 

Test Strategy & Planning 

• Define and maintain the overall test strategy for the integration programme covering test objectives scope approach tooling environments entry/exit criteria and responsibilities across all test phases and domain waves 

• Collaborate Integration Engineers and Data Engineers during the design phase to ensure integration designs are testable and that field-level mappings transformation logic error handling and data validation rules are clearly defined and verifiable 

• Plan and sequence test activities across domain waves managing dependencies between integration events shared reference data and MDM interfaces to ensure a coherent and risk-based testing approach 

Test Design & Execution 

• Design and write test scripts for unit system integration (SIT) and UAT phases covering happy path negative boundary and edge case scenarios for each integration event including create update and delete variants 

• Execute SIT end-to-end across source-to-target system pairs validating data integrity field-level mapping accuracy transformation correctness error handling behaviour retry logic and performance against agreed latency thresholds 

• Validate that integration adapters correctly handle exception scenarios including malformed payloads missing mandatory fields duplicate events and downstream system unavailability and that dead-letter and alerting mechanisms function as designed 

• Test data quality validation rules within adapters and ingestion pipelines ensuring that invalid or non-compliant data is correctly identified routed to exception workflows and reported for steward review 

UAT Coordination 

• Prepare UAT test scripts tailored to business user scenarios ensuring coverage of end-to-end workflows across integrated systems and alignment with the business processes each integration supports 

• Coordinate and manage UAT execution with client business users including scheduling onboarding participants tracking progress and maintaining a clear view of pass/fail status across all test cases 

• Triage and manage defects raised during UAT working with and DE team to prioritise fixes validate resolutions and confirm readiness for production deployment 

Regression & Automation 

• Design and implement an automated regression test suite to support ongoing validation of deployed integrations prioritising coverage of high-volume and business-critical events 

• Maintain and evolve the regression suite across waves as new integrations are introduced ensuring previously deployed integrations remain stable and that cross-domain dependencies are covered 

Defect Management & Reporting 

• Own defect management throughout the programme maintaining a complete and up-to-date defect log in Azure DevOps with clear severity classification root cause attribution and resolution status 

• Produce test reports at the conclusion of each test phase and wave summarising test execution results defect metrics outstanding risks and a clear recommendation on go-live readiness 

• Contribute to lessons learned and continuous improvement of the test approach across waves refining scripts tooling and processes based on delivery experience 

Qualifications :

• 6 years of experience in QA or test engineering with demonstrable experience testing API-based or event-driven integrations in enterprise environments 

• Proven ability to design and own a test strategy across multiple test phases (unit SIT UAT regression) within a structured delivery programme 

• Hands-on experience writing and executing test scripts for system integrations including validation of data mappings transformation logic and error handling behaviour 

• Experience using Azure DevOps (ADO) for test case management defect tracking and test reporting 

• Strong understanding of integration testing concepts including end-to-end data flow validation message payload inspection idempotency testing and exception scenario coverage. 

• Experience coordinating UAT with non-technical business users including script preparation session management and defect triage 

• Familiarity with enterprise application landscapes spanning HR ERP CRM procurement or operational platforms and an understanding of the data flows between them 

• Strong communication and organisational skills with the ability to manage testing activities across multiple parallel workstreams 

Additional Information :

• Experience testing integrations built on Azure Service Bus Azure Functions or similar event-driven messaging architectures 

• Hands-on experience with API testing tools such as Postman REST Assured or equivalent for inspecting and validating integration payloads 

• Experience building or maintaining automated regression test suites for integration or data pipeline testing 

• Familiarity with data quality testing frameworks and experience validating data transformation logic within ingestion pipelines 

• Exposure to MDM platform testing including validation of match and merge rules survivorship logic and master data propagation 

• Background in facilities management field services or similarly complex multi-system enterprise environments 

Remote Work :

No

Employment Type :

Full-time