Senior QA Automation Engineer (Databricks, SQL, Python, Robot Framework)

We are looking for a Senior QA Automation Engineer to join EPAM's Market Regulation team as part of the DADB (Data Analytics & Dashboarding) team, responsible for ensuring data quality and regulatory reporting integrity within one of the world's leading investment banks. The team develops and supports critical data processing, analytics, and reporting solutions used for regulatory compliance across multiple jurisdictions, including CFTC, SEC, ESMA, FCA, FINMA, MAS, ASIC and HKMA.

As a Senior QA Engineer, you will play a key role in validating complex ETL processes, data transformations, regulatory reporting datasets, and analytics solutions that support critical business and compliance functions.

This role offers a hybrid model, with 3 days per week working from the client's office in Wrocław or Kraków, Poland.

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 multiple source systems and reporting layers
• Execute validation of large-scale datasets supporting regulatory and supervisory reporting obligations
• Investigate data anomalies, perform root-cause analysis and collaborate with engineering teams on remediation activities
• Contribute to test strategy, test planning, estimation and quality metrics reporting
• Support CI/CD pipelines by integrating automated tests into delivery workflows
• Collaborate closely with Data Engineers, Software Engineers, Product Owners, Business Analysts and stakeholders from Regulatory Reporting and Data Analytics domains
• Ensure compliance with strict quality, auditability and control standards expected in a regulated banking environment

Requirements

• 3+ years of experience in Software Testing and QA Automation
• Strong hands-on experience with Robot Framework
• Advanced proficiency in SQL
• Strong background in Python programming and scripting
• 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 command of written and spoken English (B2+ level)

Nice to have

• Knowledge of Git
• Background in Oracle RDBMS
• Understanding of Regulatory Reporting

We offer

• We gather like-minded people:
• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• We provide growth opportunities:
• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs
• Certification (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• We cover it all:
• Stable pay
• Participation in the Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
• Corporate, social and well-being events
• Please, note:
• Benefits listed above are available to employees only
• We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
• We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.