> Markdown version of [/jobs/ext/3903705-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/3903705-data-engineer-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer III

- **Company:** Pearson Whiffin Recruitment Ltd
- **Location:** Manchester, UK
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Integration, Extract Transform Load (ETL), Relational Databases, Database Development, Database Queries, Github, PostgreSQL, MySQL, SQL Stored Procedures, SQL Databases, Data Streaming, Enterprise Data Management, Database Optimization, Software Version Control, Data Pipelines
- **Published:** October 24, 2026
- **Apply:** https://dejobs.org/x/x/FF19BBF5E0CD4F20A7F73AC1A74A3D98/job/

## About the Role

* Data pipeline development
 * SQL development (complex queries, stored procedures, views, functions)
 * Database performance tuning and optimisation
 * ETL/ELT solution development
 * GitHub/version control
 * Agile delivery experience
 * Pearson Power Skills: Adaptability, Artificial Intelligence, Learning to Learn (Intermediate)

Qualifications (Education & Experience)

 * Strong hands-on experience with data integrations services and SQL database development
 * Experience with large-scale SQL data transformation solutions
 * Familiarity with relational databases (Aurora, MySQL, PostgreSQL, etc.)
 * Experience in Agile teams and enterprise data integration environments
 * Experience with CDC processes such as DMS (desirable)
 * Azure or AWS certification (desirable)

Direct Reports: No direct reports at IC20 tier.

## Description

Deliver data integration and transformation solutions for TOpS, supporting quality, compliance, and timely delivery for a major UK Government contract. Develop AWS-based data pipelines and SQL logic to enable reliable, scalable data flows across Pearson's enterprise platforms, with a focus on tightly integrating multiple products using AWS tools., * Design, develop, and maintain reusable data pipelines following engineering standards.

 * Build SQL-based transformation logic and database objects within relational databases (e.g., MySQL, PostgreSQL).
 * Analyse SQL execution plans, optimise queries, and implement indexing strategies for performance.
 * Develop automation scripts for database deployment and operational activities.
 * Support schema changes via GitHub and CI/CD pipelines.
 * Collaborate with Data Modellers, Architects, and Engineers to implement data models and resolve pipeline issues.