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

EPAM Systems

Kraków

Hybrid

PLN 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Multisport
Shopping vouchers
Employee Stock Purchase Plan 15% off

Job summary

EPAM Systems in Poland is seeking a Senior QA Automation Engineer to join the Data Analytics & Dashboarding team focused on regulatory reporting integrity for a leading investment bank.

You will design automated tests for ETL and data pipelines, validate data quality across multiple sources, and collaborate with data engineers and product owners in a hybrid setup (3 days on client sites in Wrocław or Kraków).

Qualifications

  • 3+ years of Software Testing and QA Automation experience.
  • Hands-on Robot Framework, Python and SQL expertise.
  • Experience with data-heavy ETL pipelines and data warehouses.

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.

Skills

Robot Framework
Python
SQL
ETL testing
Databricks
Git
Oracle RDBMS
Regulatory reporting

Tools

Databricks

Job description

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.ResponsibilitiesDesign, develop and maintain automated testing solutions using Robot Framework, Python and SQLValidate data pipelines, transformations and business rules implemented within Databricks and cloud-based analytics platformsPerform end-to-end testing of data ingestion, enrichment, reconciliation and reporting processesVerify data completeness, accuracy, lineage and consistency across multiple source systems and reporting layersExecute validation of large-scale datasets supporting regulatory and supervisory reporting obligationsInvestigate data anomalies, perform root-cause analysis and collaborate with engineering teams on remediation activitiesContribute to test strategy, test planning, estimation and quality metrics reportingSupport CI/CD pipelines by integrating automated tests into delivery workflowsCollaborate closely with Data Engineers, Software Engineers, Product Owners, Business Analysts and stakeholders from Regulatory Reporting and Data Analytics domainsEnsure compliance with strict quality, auditability and control standards expected in a regulated banking environmentRequirements3+ years of experience in Software Testing and QA AutomationStrong hands-on experience with Robot FrameworkAdvanced proficiency in SQLStrong background in Python programming and scriptingExperience testing data-intensive applications, ETL pipelines or data warehouse solutionsFamiliarity with DatabricksAbility to validate and analyze large datasetsCompetency in creating automated regression and integration test suitesStrong analytical and troubleshooting skillsExcellent command of written and spoken English (B2+ level)Nice to haveKnowledge of GitBackground in Oracle RDBMSUnderstanding of Regulatory ReportingWe offerWe gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusivelyEPAM 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.
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