Senior Test Data Engineer

We are looking for an experienced Senior Test Data Engineer to support a large-scale digital banking programme focused on the end-to-end home-buying journey across the Nordic markets. The role is focused on implementing the Test Data Management strategy and building scalable, automated solutions that ensure reliable test data is available on demand. You will work closely with testers, developers, DevOps engineers and business analysts, supporting automated, integration and end-to-end testing across multiple teams and non-production environments.
Requirements:
8+ years of professional experience in Test Data Management, Test Automation or related areas Strong hands-on experience with Test Data Management solutions and automated test data provisioning Knowledge of mainframe environments and system setups Very good knowledge of SQL, relational databases and database concepts Experience with data extraction and transformation, test data generation, masking, cloning and subsetting Scripting skills in Python, PowerShell, Java or a similar language Experience supporting automated, integration and end-to-end testing Good understanding of CI/CD processes and DevOps practices Experience with test automation and synthetic data generation tools Experience working in Agile environments English at B2 level or higher Nice to have: Experience with Tricentis Tosca TDM, Curiosity Software, Delphix or Informatica TDM Experience with API testing Knowledge of Kubernetes and cloud platforms Experience with AI-assisted test data generation Experience supporting large-scale E2E customer journey testing Previous experience in the financial services or banking sector
Must have: Python, Java, CI/CD, Powershell, SQL
Nice to have: API testing, Kubernetes, Informatica TDM
Daily tasks: - Design, develop and maintain reusable test data assets and automated test data provisioning solutions
– Build self-service mechanisms enabling teams to access required test data on demand
– Create synthetic test datasets, including business-realistic scenarios, edge cases and negative test cases
– Implement data masking and anonymisation solutions in compliance with GDPR and internal security policies
– Perform test data extraction, transformation, cloning, subsetting, refresh and provisioning across non-production environments
– Support multiple teams and parallel testing activities with reliable and consistent test datasets
– Integrate test data generation and provisioning with test automation frameworks and CI/CD pipelines
– Support automated regression, integration and end-to-end testing
– Monitor test data availability and quality, troubleshoot data-related issues and maintain existing datasets
– Maintain documentation covering test data processes, standards, dependencies and reusable solutions