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Data Migration Test Engineer
Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-28
Greater London, London, Greater London, W1B, England, UK
Listing for:
Infolytics Limited
Remote/Work from Home
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Warehousing
Job Description & How to Apply Below
We are seeking a detail-oriented and analytical Data Migration Test Engineer to support ongoing data migration and transformation projects. The successful candidate will be responsible for validating data accuracy, completeness, and integrity across source and target systems.
You will work closely with data engineers, BI developers, and project stakeholders to ensure smooth and error-free data migrations. This role requires hands‑on experience in SQL‑based data validation, ETL testing, and data reconciliation processes.
Key responsibilities include designing and executing migration test strategies, validating transformation logic, identifying discrepancies, and ensuring compliance with data governance standards.
Requirements- Minimum 4+ years of experience in software testing or QA
- Proven experience in data migration or ETL testing
- Experience working with relational databases (e.g., MySQL, Postgre
SQL, SQL Server) - Understanding of data mapping, transformation logic, and data warehousing concepts
- Experience using defect tracking tools (Zoho Projects, Jira, or similar)
- Strong analytical and problem‑solving skills
- Ability to work independently in a remote environment
- Good documentation and reporting skills
- Experience with ETL tools (Talend, Informatica, Azure Data Factory, etc.)
- Basic scripting knowledge (Python is an advantage)
- Familiarity with BI tools (Power BI, Tableau)
- Understanding of GDPR and data compliance standards
- Experience working in Agile/Scrum environments
- Flexible part‑time remote working arrangement
- Opportunity to work on high‑impact data transformation projects
- Collaborative and data‑driven work environment
- Professional growth opportunities in data engineering and analytics
- Performance‑based incentives (where applicable)
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