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# Test Engineer 12-month FTC

- **Company:** LV= Life & Pensions
- **Location:** Bournemouth, UK
- **Contract:** Temporary contract
- **Skills:** Testing (Software), Data Analysis, Automation of Tests, Microsoft Azure, Big Data, Databases, Data Validation, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), Online Analytical Processing, Online Transaction Processing, Cloud Services, Standard Sql, SQL Databases, Test Data, Test Scripts, Microsoft Fabric, Pytest, Tools for Reporting, Data Pipelines, Databricks
- **Published:** July 24, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=510172ba75b67dd2

## About the Role

*Proven experience testing data pipelines, ETL processes and data transformations

 * Strong knowledge of Azure DevOps (or similar test management tools)
 * Strong SQL and/or Python skills for data analysis and validation of large datasets
 * Experience producing test status reports and identifying delivery risks
 * Experience with test automation tools and frameworks (Python and PyTest)
 * Strong understanding of data warehousing, databases, ETL concepts and architecture
 * Excellent analytical and problem-solving skills with strong attention to detail
 * Experience working with cloud data platforms such as Microsoft Fabric or Azure Databricks
 * Experience testing OLTP, OLAP and BI reporting solutions
 * Experience generating and manipulating test data
 * Excellent communication skills with the ability to work effectively across technical and non-technical teams

Desirable

 * ISEB Foundation Level in Software Testing (or equivalent)
 * Experience within the Life Insurance sector across a range of projects and operational areas

## Description

We have a new opportunity for a Test Engineer to join our Data Transformation Project and play a key role in delivering a reliable, high-quality data platform built on Microsoft Fabric., * Develop and execute ETL test plans, test cases and test scenarios for data pipelines.

 * Validate data accuracy, completeness, security, transformation logic and pipeline performance.
 * Perform data validation and reconciliation testing to ensure data integrity across source and target systems.
 * Develop and maintain automated ETL test scripts using SQL, Python and testing frameworks.
 * Integrate automated data validation checks into CI/CD pipelines.
 * Identify, document, track and manage defects, undertaking root cause analysis where required.
 * Produce and maintain test plans, execution reports, defect logs and data quality metrics.
 * Collaborate with Data Engineers, Architects and business stakeholders to ensure solutions meet requirements and user stories.


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