Data Analytics Engineer

Data Analytics Engineer Power BI SQL Hybrid

Location: Hybrid / UK
Salary: Competitive + Benefits

A fantastic opportunity has opened for an experienced Data Analytics Engineer to join a growing data and analytics team within a large UK organisation. This role is ideal for a technically strong Data Analytics Engineer who enjoys both building impactful Power BI reporting solutions and developing the robust data infrastructure behind them.

This is a hybrid role combining Power BI development, data engineering, SQL development, and stakeholder engagement, making it ideal for someone who enjoys delivering end-to-end analytics solutions.

As a Data Analytics Engineer, you will play a key role in developing business-critical reporting and analytics capabilities across multiple operational teams. You'll design scalable reporting solutions, improve data quality, and help stakeholders make informed, data-driven decisions.

• Design, develop, and maintain Power BI reports, dashboards, and semantic models
• Build engaging, intuitive dashboards tailored to business requirements
• Develop DAX measures and optimise reporting performance
• Create and maintain SQL-based data pipelines and reporting datasets
• Transform and model complex data for scalable analytics solutions
• Ensure data accuracy, consistency, governance, and reporting reliability
• Maintain clear documentation around data lineage and reporting definitions
• Collaborate with stakeholders across Finance, HR, Operations, and wider business teams
• Support users with reporting insights and interpretation of data

• Proven experience as a Data Analytics Engineer, BI Engineer, Data Engineer, or Power BI Developer
• Strong Power BI development experience
• Advanced SQL / SQL Server skills
• Strong understanding of data modelling and transformation
• Experience building reporting datasets and scalable analytics solutions
• Strong analytical and problem-solving skills
• Ability to work independently and collaboratively in a fast-paced environment

• Microsoft Fabric experience
• Databricks or Snowflake exposure
• ETL / data integration tool experience
• API integration experience
• Python scripting / automation knowledge
• Experience working with complex or regulated datasets
• Understanding of data governance frameworks

• Hybrid working
• Competitive salary package
• Opportunity to work on modern data and reporting projects
• Exposure to enterprise-scale analytics environments
• Collaborative team culture
• Strong long-term career development opportunities