Software Development Engineer in Test

Hays IT Contracting operates on B2B principles, matching IT specialists to leading technology projects. The role is based in Warsaw with hybrid work model and long-term cooperation.

• Extensive experience in data testing and automation with the 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.
• Very good 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 including unit, integration, end-to-end, regression, and business scenario tests.
• Senior-level collaboration skills, actively 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.
• English language proficiency minimum B2+.

• Designing and leading data test strategies from unit level to full business scenarios, considering organizational architecture and processes.
• Building and maintaining advanced automation frameworks in Python with CI/CD integration, focusing on automating all possible aspects.
• Validating data quality in key business domains, including integrity, completeness, consistency, and compliance with regulatory requirements.
• Verifying security and access by testing roles, permissions, and RBAC scenarios in Databricks and related systems.
• Collaborating with product and technical teams through active participation in solution design, technical reviews, and defining Definition of Done.
• Analyzing and reporting test results by creating artifacts, documentation, and recommendations that influence project decisions.
• Building a quality culture in the organization through mentoring, proposing improvements, implementing best practices, and promoting an automation-first approach.