CareerAddict

Data Analytics Engineer

CV-Library

Posted on May 26, 2026 by CV-Library
Birmingham, West Midlands (County), United Kingdom
IT
Immediate Start
Annual Salary
Full-Time
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.

The Opportunity

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.

Key Responsibilities

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

Skills & Experience Required

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 environmentDesirable 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

What's On Offer?

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

Why Apply?

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

Reference: 225157934

https://jobs.careeraddict.com/post/113293756
CV-Library

Data Analytics Engineer

CV-Library

Posted on May 26, 2026 by CV-Library

Print
Birmingham, West Midlands (County), United Kingdom
IT
Immediate Start
Annual Salary
Full-Time
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.

The Opportunity

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.

Key Responsibilities

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

Skills & Experience Required

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 environmentDesirable 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

What's On Offer?

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

Why Apply?

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
Print

Reference: 225157934

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