Software Development Engineer in Test

Hays IT Contracting operates on B2B principles, matching IT specialists to leading technology projects. The company has a network of 500 contractors working for Hays clients.

• Extensive experience in data testing and automation.
• Ability to independently design test strategies for complex data environments and make architectural decisions.
• Skills in building and developing test frameworks in Python emphasizing scalability, modularity, and CI/CD integration.
• Strong knowledge of Databricks (preferably Azure), including testing notebooks, jobs, workflows, and optimizing test processes in Lakehouse.
• Deep understanding of data quality, including validation, integrity tests, data quality models, and practical use of tools like dbt, Great Expectations, or custom frameworks.
• Experience designing automated tests for pipelines: unit, integration, end-to-end, regression, and business scenario tests.
• Senior-level collaboration skills, influencing technical direction, advising data engineers, and supporting a quality-first approach.
• Communication maturity to clearly present risks, recommendations, and test results to technical and business stakeholders.

• Design and lead data test strategies from unit level to full business scenarios, considering organizational architecture and processes.
• Build and maintain advanced automation frameworks in Python with CI/CD integration, focusing on automating all possible aspects.
• Validate data quality in key business domains, including integrity, completeness, consistency, and regulatory compliance tests.
• Verify security and access by testing roles, permissions, and RBAC scenarios in Databricks and related systems.
• Collaborate with product and technical teams in solution design, technical reviews, and defining Definition of Done.
• Analyze and report test results, creating artifacts, documentation, and recommendations influencing project decisions.
• Foster a quality culture through mentoring, proposing improvements, implementing best practices, and promoting an automation-first approach.