Business Intelligence Developer

Nigel Wright Group
Sr33Xn, SR3 3XN, United Kingdom
Today
£40,000 – £50,000 pa

Salary

£40,000 – £50,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
2 Jun 2026 (Today)
The Company
NW Tech are delighted to be working with a financial services company in their search for a Business Intelligence Developer.

The Role
Joining a newly formed team, you will take ownership of transforming ingested data from the staging layer into governed, high performance star schema models within the reporting layer using Azure Databricks and Azure SQL. Other key responsibilities include:
  • Data Modelling - Design and maintain star schema models, ensuring fact and dimension structures are aligned to business definitions and scalable for future growth.
  • Reporting Development and Delivery - Contribute directly to the development and enhancement of Tableau dashboards and certified data sources.
  • Data Governance - Play a critical role in centralising KPI logic and improving consistency across the reporting estate.
  • Platform Management - You will support management and optimisation of Tableau data sources including performance tuning and refresh reliability
  • Collaboration - Strong stakeholder engagement will be required, including the ability to explain modelling decisions to non-technical audiences

The Requirements
This is a brilliant opportunity to work in a fast paced environment which also provides clear pathways for future progression. The role provides a unique opportunity to shape the direction, foundations and long term success of the BI function. Key requirements include:
  • Proven experience working in a Business Intelligence, Analytics Engineering or data focused roles
  • Strong proficiency in SQL
  • Hands-on experience working with Python and Spark, ideally within Azure Databricks
  • Understanding of data warehouse principles
  • Experience within a regulated environment would be desirable


Related Jobs

View all jobs

Business Intelligence Developer

Nigel Wright Group Sr33Xn, SR3 3XN, United Kingdom
£40,000 – £50,000 pa On-site

Business Intelligence Developer

Jackson Hogg Sunderland, United Kingdom
£40,000 – £50,000 pa On-site

Senior BI Developer

TRP Recruitment Limited London, United Kingdom
£55,000 – £60,000 pa On-site

Data Analyst

TLP Recruitment Wf61Ab, WF6 1AB, United Kingdom
£35,000 pa Hybrid

Senior Business Intelligence Manager

Pearson Whiffin Recruitment Group Gillingham, United Kingdom
£70,000 – £75,000 pa On-site

Lead BI Developer / Analyst – Home

Integrity Recruitment Solutions Ng11Aj, NG1 1AJ, United Kingdom
Remote

Industry Insights

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

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.

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.