Data Tester

Capgemini is a global business and technology transformation partner, powered by AI and delivering tangible business value to organizations around the world. It employs more than 420,000 people in over 50 countries and reported global revenues of €22.5 billion in 2025. Capgemini delivers end-to-end services and solutions, from strategy and design to engineering and operations, drawing on deep industry expertise and a broad partner ecosystem.

• 3–7+ years of experience in data testing or QA roles within Financial Services or Investment Banking
• Strong SQL skills for data analysis, validation, reconciliation, and investigation
• Hands-on experience with Databricks, Spark, or PySpark-based data pipelines
• Understanding of data warehousing or lakehouse concepts and end-to-end data flows
• Knowledge of data quality dimensions such as accuracy, completeness, timeliness, and consistency
• Experience with defect and test management tools such as Jira, Xray, ALM, or Azure DevOps
• Exposure to regulatory, risk, credit, or reporting data domains
• ISTQB or Python-based test automation experience is a plus

• Design and execute data test strategies, test cases, and test scenarios for data platforms
• Validate ETL and ELT pipelines built on Databricks, ensuring correct data ingestion and transformation
• Perform data validation and reconciliation across source and target systems
• Validate business rules, calculations, aggregations, and regulatory logic implemented in data layers
• Identify, log, and track data defects, working closely with Data Engineers to support resolution
• Support UAT and regression testing for data-driven applications and reports
• Contribute to test documentation, data quality reporting, and testing best practices
• Collaborate with cross-functional teams to improve the reliability and quality of data used for business decisions and compliance

Location: Wrocław or Poznań. The hybrid working model is available after onboarding, and details regarding work organization will be discussed during the recruitment process.