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# Power BI Developer

- **Company:** Macildowie Recruitment and Retention
- **Location:** Kettering, UK
- **Experience:** Expert
- **Salary:** £55,000.0 - £60,000.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Data Governance, Extract Transform Load (ETL), Data Visualization, Dimensional Modeling, Power BI, Standard Sql, SQL Databases, Powerquery, Microsoft Fabric, Tools for Reporting
- **Published:** September 17, 2026
- **Apply:** https://www.reed.co.uk/jobs/power-bi-developer/57356624

## About the Role

* Strong Power BI development experience
 * Advanced DAX & Power Query (M)
 * Strong SQL
 * Experience with Microsoft Fabric
 * Solid data / dimensional modelling experience
 * Confident stakeholder management skills
 * A pragmatic, delivery-focused mindset

Fabric Lakehouse/Warehouse, Azure, ETL/ELT or data governance experience? Even better.
Why this role?

This isn't a "build what's on the ticket" BI role. You'll have the opportunity to shape requirements, improve reporting and identify where data can deliver more value.

If you're a Power BI specialist who likes getting things done and seeing tangible results, I'd love to hear from you.
Skills

 * Business Intelligence (Dashboard)
 * Communication Skills (Key)
 * Dashboard Design & Development
 * Data Modeling (Model)
 * Data Visualization (Ibm)
 * ETL (Extract Transform Load)
 * Microsoft Azure (Line)
 * Power BI (Opportunity)
 * SQL Databases
 * Stakeholder Management (Business)

## Description

We're looking for a hands-on Power BI Delivery Consultant to join a growing data function and hit the ground running.

This is a delivery-focused contract - taking business requirements, challenging where needed, and turning data into high-quality dashboards, semantic models and actionable insight.
What you'll be doing

 * Build and deliver Power BI dashboards & reports
 * Develop semantic models, DAX & Power Query
 * Work across Microsoft Fabric, SQL & Excel data
 * Translate business needs into meaningful reporting solutions
 * Improve and automate existing reporting processes
 * Identify data quality issues and wider opportunities
 * Work closely with stakeholders, challenging requirements where appropriate


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