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# Data Engineer | Hybrid London | Up to £70,000

- **Company:** Pearson Whiffin Recruitment Ltd
- **Location:** London, United Kingdom
- **Salary:** £65,000 - £70,000
- **Contract:** Permanent contract
- **Skills:** Big Data, Business Systems, Cloud Database, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Migration, Data Mining, Data Systems, Microsoft Data Access Components, Microsoft SQL Server, SQL Databases, SQL Server Integration Services, Transact-SQL, Azure Data Factory
- **Published:** November 12, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5962456949

## About the Role

* Experience working within a data engineering, data migration or ETL-focused role.
 * Strong knowledge of Microsoft SQL Server and T-SQL.
 * Exposure to ETL tools such as Azure Data Factory or SSIS.
 * Understanding of data extraction, transformation, cleansing and validation.
 * Experience working with enterprise business systems and integrating data between platforms.
 * Strong communication and problem-solving skills, with the ability to work alongside technical and non-technical stakeholders.

## Description

This role offers the opportunity to work across a range of data projects, supporting the development of data solutions, improving data quality and helping deliver effective data processes. You'll work closely with technical teams and business stakeholders, using your experience with SQL, ETL tools and cloud-based data technologies to support key business initiatives.
Key Responsibilities

 * Develop and maintain data extraction, transformation and loading processes.
 * Work with large datasets, supporting data cleansing, validation and reconciliation.
 * Build and maintain data solutions using SQL Server and Microsoft data technologies.
 * Support data integration and migration activities across business systems.
 * Assist with data mapping, transformation rules and data quality improvements.
 * Collaborate with technical teams and stakeholders to understand data requirements and resolve issues.