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# Data Engineer

- **Company:** GSF Car Parts LTD
- **Location:** Wolverhampton, UK
- **Salary:** £46,449.0
- **Contract:** Temporary contract
- **Skills:** Vbscript, Business Analytics Applications, Big Data, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Presentation, MySQL, Power BI, SQL Databases, Microsoft Power Automate, Sql Optimization, Data Pipelines
- **Published:** September 14, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5464021487

## About the Role

* Proven experience designing, building, and maintaining data pipelines using Power Automate (ETL/ELT).
 * Strong proficiency in Power BI (including DAX) for developing insightful reports and dashboards.
 * Advanced SQL skills (MySQL) for querying and manipulating complex datasets.
 * Excellent data storytelling abilities-able to communicate findings clearly to non-technical stakeholders.
 * Familiarity with VB Script is a plus.
 * Strong understanding of data governance, security, and compliance standards.

## Description

We're on the lookout for an experienced Data Engineer to join our team on a 4-6 month contract. This is a pivotal role focused on ensuring business continuity through a structured handover process, while simultaneously accelerating our data infrastructure modernisation program.

You'll work closely with stakeholders across the business to capture key insights, document technical processes, and deliver high-impact analytics solutions. If you thrive in fast-paced environments and have a passion for turning data into actionable intelligence, we'd love to hear from you.

As a Data Engineer, you will:

 * Collaborate with stakeholders to create comprehensive handover documentation for ongoing and legacy projects.
 * Lead the design and delivery of dashboards, forecasting models, and ad hoc analysis to support commercial decision-making.
 * Analyse large datasets from multiple sources using SQL, Power BI, and other visualisation tools.
 * Monitor KPIs across sales, marketing, product, and customer performance, identifying trends and anomalies.
 * Drive automation of reporting processes to enhance efficiency, scalability, and accuracy.
 * Ensure data integrity, quality, and security through rigorous validation, testing, and documentation.
 * Mentor junior analysts and contribute to data governance and analytics best practices.