About the Role
The team develops and supports critical data processing, analytics, and reporting solutions for regulatory compliance across multiple jurisdictions. These solutions support regulatory reporting and compliance functions within a leading investment bank.
Responsibilities
•Design, develop, and maintain automated testing solutions using Robot Framework, Python, and SQL
•Validate data pipelines, transformations, and business rules implemented within Databricks and cloud-based analytics platforms
•Perform end-to-end testing of data ingestion, enrichment, reconciliation, and reporting processes
•Verify data completeness, accuracy, lineage, and consistency across source systems and reporting layers
•Validate large-scale datasets used for regulatory and supervisory reporting
•Investigate data anomalies, perform root-cause analysis, and collaborate with engineering teams on remediation
•Contribute to test strategy, test planning, estimation, and quality metrics reporting
•Support CI/CD pipelines by integrating automated tests into delivery workflows
•Collaborate with Data Engineers, Software Engineers, Product Owners, Business Analysts, and stakeholders in Regulatory Reporting and Data Analytics
•Ensure compliance with quality, auditability, and control standards in a regulated banking environment
Requirements
•3+ years of experience in Software Testing and QA Automation
•Strong hands-on experience with Robot Framework
•Advanced SQL proficiency
•Strong Python programming and scripting skills
•Experience testing data-intensive applications, ETL pipelines, or data warehouse solutions
•Familiarity with Databricks
•Ability to validate and analyze large datasets
•Competency in creating automated regression and integration test suites
•Strong analytical and troubleshooting skills
•Excellent written and spoken English (B2+)
Nice to Have
•Git
•Oracle RDBMS
•Regulatory Reporting
Conditions
•3 days per week working from the client's office in Wrocław or Kraków, Poland
