Senior Test Data Specialist

OPTIVEUM sp. z o.o.•Capon Bridge, WV
•PLN 115•Hybrid

About The Position

Optiveum is recruiting and contracting a Senior Test Data Specialist for a client in the banking industry. The specialist will join the Home Journey project, which covers the customer journey involved in buying a home in the Nordics, and work in a diverse, international, agile environment. The role focuses on executing the test data strategy, building automated solutions, supporting teams, and ensuring test data is available on demand. The specialist will collaborate with testers, developers, DevOps engineers, and business analysts to address test data availability and reliability challenges. The role is hybrid, with three office days per week, in Warsaw, Gdańsk, or Gdynia. The stated rate is up to 115 PLN per hour net on a B2B basis.

Requirements

  • At least 8 years of experience in Test Data Management or Test Automation.
  • Strong SQL and relational database knowledge.
  • Knowledge of mainframe systems and setups.
  • Experience with data extraction and transformation, test data generation, data masking, cloning, and subsetting.
  • Hands-on implementation of Test Data Management solutions.
  • Scripting skills in Python, PowerShell, Java, or similar.
  • Understanding of CI/CD processes and DevOps practices, including Git and Jenkins.
  • Experience supporting automated, integration, and end-to-end testing.
  • Experience working in Agile teams.
  • Advanced English.

Nice To Haves

  • Experience with Tricentis Tosca TDM, Curiosity Software, Delphix, or Informatica TDM.
  • Financial services domain knowledge.
  • Experience with synthetic data generation tools and AI-assisted test data creation.
  • API testing experience, including SOAP.
  • Kubernetes and cloud platform knowledge.
  • Experience supporting large-scale end-to-end customer journey testing.

Responsibilities

  • Create and maintain reusable test data assets.
  • Develop automated test data provisioning solutions and self-service data delivery mechanisms.
  • Implement data masking and anonymization routines, ensure compliance with GDPR and internal policies, and validate masked data quality and usability.
  • Create synthetic test datasets, generate data for edge cases and negative tests, and maintain business-realistic data combinations.
  • Provision test data to non-production environments, refresh and clone test datasets, and support parallel testing across multiple teams.
  • Integrate test data generation into automation frameworks, enable CI/CD-driven test data provisioning, and support automated regression execution.
  • Monitor data availability and quality, and resolve data-related defects and issues.
  • Maintain available test data and document processes, standards, and data dependencies.
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