Power BI Engineer

Ipsum

Bolton Green, Lancashire, PR7 5JS, United Kingdom

Last week

Posted: 23 Apr 2026 (Last week)

Save job

Create job alert

Power BI Engineer - Northwest

What’s in it for you…

We believe in looking after our people, and it shows. When you join Ipsum, you’re not just taking a job — you’re starting a career with real support behind it.?

25 annual leave plus bank holidays with the option to buy more

Hybrid working

Group Personal Pension Plan

Career development & progression with the opportunity to earn professional qualifications

24/7 access to a virtual GP?and Mental health support & counselling services?

Cycle to Work scheme?

Discount club - supermarkets, phone bills, gyms & more!?

Life assurance cover?

Long service recognition?

Active local social committees?

Regular social events?

Paid volunteering opportunities in your community?

About the role…

As a Power BI Engineer, you will play a key role in advancing data solutions that support Ipsum’s strategic priorities and growth objectives. Reporting to the Head of Software Engineering, you will work closely with the wider IT function and a range of business stakeholders to design, develop and support effective Power BI solutions.

This is a home?based, fixed?term contract for 3 months, offering an excellent opportunity to make an immediate impact through high?quality analysis, clear documentation and reliable reporting in a collaborative, fast?paced environment.

As a Power BI Engineer you will …

Work closely with the data engineering team to share best practices and support high?quality data solutions

Design, develop and maintain robust data models, data warehouses and data marts to support reporting and analytics

Build interactive Power BI reports and dashboards using data visualisation best practices, DAX and Power Query (M)

Design and maintain data integration processes, including data ingestion, transformation and loading

Ensure data quality, governance and security, optimising performance and managing incidents to ensure timely resolution

Partner with business stakeholders to understand requirements, deliver insights, and support adoption through training and guidance

About you…

You will have a Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience), with strong hands?on knowledge of Power BI, DAX, Power Query (M), SQL and Python. You’ll have experience building interactive dashboards and reports, working with data analysis and modelling, and translating business requirements into effective business intelligence solutions.

You are proactive, self?motivated and comfortable taking ownership of your work, while also supporting colleagues across the Engineering team when needed. A confident communicator, you can clearly present analysis and project outcomes, build strong relationships with stakeholders, and operate effectively in a fast?paced, high?growth environment. You bring a strong interest in data architecture and continuous improvement, staying up to date with industry trends and best practices.

Our commitment to Equal Opportunities...

We’re proud to be an equal opportunities employer. We welcome applications from all backgrounds and experiences, and we’re committed to building a diverse and inclusive

workforce.?Before applying, please review our Privacy Policy to understand how we process your data in line with GDPR.?

Related Jobs

View all jobs

EU Power BI Engineer | Lisbon | To

Akkodis Lisbon, Portugal

£30,213 – £34,529 pa Hybrid

Analytics Engineer

Reed.co.uk London, United Kingdom

£65,000 pa Hybrid

Fabric / BI Developer

IT Talent Solutions Guildford, Surrey, United Kingdom

£40,000 – £60,000 pa Hybrid Clearance Required

Power BI Developer/ Analyst

Resourgenix Ltd United Kingdom

£33 ph Hybrid

Junior Data Engineer

Intec Select London, City And County Of the City Of London, United Kingdom

£35,000 – £40,000 pa

Lead Analytics Engineer

SF Partners London, United Kingdom

£400 – £500 pd Hybrid

Industry Insights

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

Apr 9, 2026

Products

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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 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.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.