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Test Data Lead
Job in
Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listed on 2026-08-21
Listing for:
Ellis Recruitment Group
Part Time
position Listed on 2026-08-21
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
We are looking for a hands-on Data Manager.
The ideal candidate will have experience within the Banking Industry.
The role requires 2-3 days per week onsite in Zurich.
Key Responsibilities
- Design, build, and maintain an automation framework for regression testing of data platforms and pipelines
- Develop automated test cases covering data ingestion, transformation, validation, and reconciliation scenarios
- Execute and maintain automated test execution cycles, integrating with CI/CD pipelines
- Identify gaps in existing test coverage and proactively design automated checks to close them
- Collaborate with data engineers, QA, and business teams to understand data flows and translate them into robust test scenarios
- Troubleshoot test failures, distinguishing between genuine data/application defects and test/environment issues
- Document test frameworks, test cases, and results in a clear, maintainable way
- Continuously improve automation coverage, execution speed, and reliability
Required Skills & Experience
- Strong, demonstrable understanding of data platforms and enterprise data — data warehouses, data lakes, ETL/ELT pipelines, data models, and data governance concepts
- Hands-on experience building test automation frameworks (e.g., for regression testing) rather than only executing pre-built scripts
- Experience with automated test case design and automated test execution, ideally in data-centric environments
- Proficiency in at least one programming/scripting language commonly used in test automation (e.g., Python, Java, or similar)
- Experience with SQL and querying large/enterprise datasets to validate data accuracy and integrity
- Familiarity with CI/CD tools and integrating automated tests into deployment pipelines
- Strong analytical and problem-solving skills, with attention to data quality and detail
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