Future Tech Jobs Future Tech Jobs

Data Analytics Engineer

Applause IT Recruitment Ltd
Birmingham, West Midlands (county), United Kingdom
Last week
Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
26 May 2026 (Last week)

Benefits

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
Share
Save job
Create job alert

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

Related Jobs

View all jobs

Data Quality & Governance Engineer

Harnham - Data and Analytics Recruitment London, United Kingdom
£70,000 – £80,000 pa Permanent Clearance Required

Analytics Engineer

Harnham - Data and Analytics Recruitment London, United Kingdom
£50,000 – £60,000 pa Hybrid

Analytics Engineer

Harnham - Data and Analytics Recruitment Sheffield, United Kingdom
£65,000 – £70,000 pa Remote

Analytics Manager

Harnham - Data and Analytics Recruitment London, United Kingdom
£100,000 – £120,000 pa Permanent

Data Platform Manager

Harnham - Data and Analytics Recruitment London, United Kingdom
£60,000 – £85,000 pa On-site

Senior BI Data Architect

Harnham - Data and Analytics Recruitment Edinburgh, Alba / Scotland, United Kingdom
£100,000 – £900,000 pa Remote

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.