Test Data Management Specialist (banking)
First seen by Alion on Nov 13, 2026.
Industry: banking
Location: Hybrid - 2-3 days per week from office in Warsaw, Gdynia or Gdańsk
Rate: up to 155 pln/h on b2b
About the project
You will join an international, agile environment and work on a program that spans roughly 50-60 systems and applications, including frontend, backend and mainframe.
About the role
We are looking for a Test Data Management Specialist who can first understand the business and technical problem, and only then choose and apply the right tooling. Your main task is to make sure that test teams and applications have reliable test data available on demand. You will do this by creating synthetic data, anonymizing and masking data, and keeping environments in sync.
You will work with testers, developers, DevOps engineers and business analysts. You will gather information on your own, ask stakeholders the right questions and identify dependencies between systems. We do not expect you to wait for detailed requirements.
Your responsibilities
Analyze the test data needs of teams and applications, and identify data flows, dependencies and constraints between systems
Propose and select the right method of preparing test data for each case
Create and maintain reusable test data assets, and build automated and self-service test data provisioning
Implement data masking and anonymization routines, ensure GDPR and internal policy compliance, and validate the quality and usability of masked data
Create synthetic datasets, including edge-case and negative-test data, keeping data combinations business-realistic
Provision, refresh and clone test data in non-production environments, supporting parallel testing across multiple teams
Integrate test data generation into automation frameworks and CI/CD pipelines
Monitor data availability and quality, and resolve data-related defects
Document processes, standards and data dependencies
Requirements
5+ years of experience in Test Data Management or Test Automation
Practical experience in data masking, anonymization and synthetic data generation
Strong analytical thinking and problem solving, with the ability to work independently and proactively
Strong SQL and relational database knowledge
Experience with data extraction and transformation, data cloning and data subsetting
Knowledge of mainframe systems and set-ups
Experience working in Agile teams and supporting automated, integration and E2E testing
Scripting skills (Python, PowerShell, Java or similar). Advanced programming is not the priority
Understanding of CI/CD and DevOps practices
Experience with synthetic data generation and test automation tools
English at B2 level or higher
Nice-to-have
Tricentis Tosca TDM, Curiosity Software, Delphix or Informatica TDM
Financial services domain knowledge
API testing experience
Kubernetes and cloud platform knowledge
AI-assisted test data creation
Experience supporting large-scale E2E customer journey testing
Tech stack
- Data Masking
- Synthetic data generation