QA​/Test Engineer – Data

Salary: £? - ? per year

• 3+ years experience in QA, Test Engineering, or Data Quality Engineering within data platform environments
• Strong SQL skills, including complex query writing for reconciliation and validation
• Experience building automated testing frameworks in modern data stacks such as dbt, Great Expectations, Soda, or Python-based frameworks
• Hands‑on experience with at least one modern cloud data warehouse, with Snowflake preferred
• Experience integrating tests into CI/CD pipelines such as Git Hub Actions or Azure Dev Ops
• Strong understanding of data validation, transformation testing, and reconciliation methodologies
• Comfortable working with Git‑based workflows and pull request processes
• Strong written communication and defect documentation skills
• High attention to detail with a pragmatic, delivery‑focused mindset
• Must have the right to work in the UK without sponsorship
• Desirable: experience supporting data migration or modernisation programmes
• Desirable: background in reconciling legacy warehouse platforms such as MSSQL, Oracle, or Teradata with cloud‑based platforms
• Desirable:
  Python for test automation
• Desirable: experience testing downstream BI outputs such as Power BI
• Desirable: ISTQB or equivalent certification
• Desirable: exposure to data observability tools such as Monte Carlo, Bigeye, or Elementary
• Desirable: experience in retail, hospitality, e-commerce, or other high‑volume transactional environments

• Design and execute testing strategies across our modern data platform, including unit, regression, reconciliation, and data quality testing
• Build and maintain dbt test frameworks, including generic, singular, and custom tests
• Develop automated reconciliation suites comparing outputs between legacy warehouse environments and our new cloud‑based outputs at row, column, and aggregate levels
• Embed testing into CI/CD pipelines to prevent defects reaching production
• Define and own our wider data quality framework, including monitoring, alerting, and remediation processes
• Translate business requirements into testable and automated validation criteria
• Investigate and document data quality issues identified through monitoring or business users
• Maintain regression coverage for critical business reporting datasets
• Promote testing best practices across engineering teams, improving test coverage and code quality
• Support release sign-off and contribute to go/no-go deployment decisions
• Partner with business stakeholders during UAT cycles to ensure successful delivery

• Azure
• CI/CD
• Cloud
• Data Warehouse
• Dev Ops
• Fivetran
• Git
• Git Hub
• ISTQB
• Support
• Oracle
• Power BI
• Python
• SQL
• Snowflake
• dbt
• UX UI Design