Data Analytics Engineer

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

Essential Skills

• 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

Desirable Skills

• 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

This is an excellent opportunity for a Data Analytics Engineer who wants to take ownership of impactful analytics projects while working across both reporting and data engineering disciplines.

If you're looking for your next Data Analytics Engineer opportunity, click apply now.