Power BI Developer

Reed

Ha47Tl, HA4 7TL, United Kingdom

Last week

£55,000 – £60,000 pa

Salary

£55,000 – £60,000 pa

Posted: 22 May 2026 (Last week)

Save job

Create job alert

The Role

A key position within the data function — ideal for someone who enjoys owning thefull Power BI lifecycle, from backend data engineering through to delivering scalable, business-critical reporting.

Key Responsibilities

Own and manage theend-to-end Power BI environment (datasets, semantic models, dataflows, gateways, reporting)
Design and buildscalable, high-performance data models
LeadERP data integration and ETL processes
Develop and optimiseSQL queries, views, and stored procedures
Create and enhanceadvanced DAX calculations
Establish and maintainBI governance, security, and best practices
Troubleshootdata integrity and performance issues
Collaborate with stakeholders acrossFinance, Sales, Operations, and Supply Chain
Act as atechnical SME for BI architecture

Skills & Experience

10+ years’ Power BI experience with strong backend focus
AdvancedSQL Server expertise (optimisation, tuning, procedures)
Experience withERP systems and complex datasets
Strong track record buildingenterprise-scale semantic models
Solid understanding ofETL and data modelling principles
AdvancedDAX and performance optimisation skills
Experience withPower BI Service (gateways, dataflows, pipelines)
Knowledge ofBI governance, security models, and best practice
Strong communicator with the ability totranslate data into insight

Why Apply?

Opportunity toown and shape the BI function
Work within a business supportingrecognised global brands
Exposure tolarge-scale, complex data environments
Real scope toinfluence strategy and decision-making

Interested? Apply now or get in touch for a confidential discussion.

Related Jobs

View all jobs

Power BI Developer

Tenth Revolution Group Stafford, United Kingdom

£35,000 – £45,000 pa Permanent

BI Developer

Altech Group Ltd Pr71Ny, PR7 1NY, United Kingdom

£35,000 – £45,000 pa On-site

Senior BI Developer

TRP Recruitment Limited London, United Kingdom

£55,000 – £60,000 pa On-site

Lead BI Developer / Analyst – Home

Integrity Recruitment Solutions Ng11Aj, NG1 1AJ, United Kingdom

Remote

BI Manager

Harnham - Data and Analytics Recruitment London, United Kingdom

£80,000 – £100,000 pa Hybrid

BI Product owner

Tenth Revolution Group Birmingham, United Kingdom

£50,000 – £60,000 pa Hybrid Clearance Required

Industry Insights

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

May 26, 2026

Jobs

Quant Researcher Jobs in London 2026: Hedge Fund Pay for Data Scientists

Quant researcher jobs in London 2026: total comp £150k–£2M+, top hedge funds and prop firms hiring, and how the role differs from data science.

Apr 9, 2026

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.

Apr 5, 2026

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.