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# Test Data Management Specialist

- **Company:** Ust Club
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Bash Shell, Information Systems, Data Integrity, Data Masking, Relational Databases, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Scrum Methodology, Systems Development Life Cycle, Regression Testing, SQL Databases, Test Data, Git, Information Technology, Data Management, Docker, Jenkins
- **Published:** August 24, 2026
- **Apply:** https://www.jobleads.com/es/job/e8146cfb6442d2a216937545f8229da1f

## About the Role

* Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Finance, or a related field.
 * Minimum 3 years of experience in Test Data Management, preferably within financial services or highly regulated environments.
 * Strong proficiency in SQL and hands-on experience with relational databases (Oracle, MS SQL Server, PostgreSQL).
 * Experience with data masking tools and technologies (e.g., Delphix, Informatica) is highly desirable.
 * Solid understanding of Software Delivery Lifecycles (SDLC) and Agile methodologies (Scrum, Kanban).
 * Familiarity with test phases such as SIT, UAT, and regression testing.
 * Analytical mindset with strong attention to detail and data quality.
 * Self-directed, solution-oriented, and able to thrive in a distributed, cross-location team.
 * Fluent English., Test Data Management, SQL, Data Masking, Data Validation, CI/CD, Python, Jenkins, Metadata Management

## Description

* Design, extract, transform, and provision test data sets for UAT, TST50, TST60, UAT10 and other test environments.
 * Guarantee referential integrity of test data across interconnected systems.
 * Develop and manage reusable synthetic and masked datasets representing real-world client scenarios (onboarding, advising, compliance checks, transaction flows).
 * Coordinate with IDMC and Test Data Management teams on environment refresh activities and data population plans.
 * Support automation of test data provisioning using scripting (SQL, Python, Shell) and CI/CD pipelines (Jenkins, Docker, Git).
 * Maintain a central inventory of test datasets and associated metadata.
 * Act as a point of contact for testers and Product Owners regarding test data, test users, and related constraints.


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