Senior BI Developer

AJ Bell
Manchester, United Kingdom
Today
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Posted
5 Jun 2026 (Today)

Benefits

25 days holiday Pension Private healthcare
Job Description

As part of our continued growth and investment in our data and analytics capabilities, we’re recruiting for an experienced Senior BI Developerto join our dynamic direct-to-consumer (D2C) business. This is a key opportunity to play a central role in shaping how data is leveraged to drive insight, inform decisions, and support ongoing business success.

As the Senior BI Developer, you will play a pivotal role in designing, building, and maintaining the data assets that underpin our reporting, analytics, and customer marketing capabilities. You’ll work closely with stakeholders to define requirements, develop best-in-class data products, and produce engaging and accurate reporting used by our teams and senior managers to track performance and make strategic decisions.

You’ll also form a key part of our wider data community, ensuring that our organisational data supports our ambitious growth targets. And most importantly you will contribute to our company data strategy by supporting colleagues to become even more data literate and ensuring they have reliable and relevant data and reporting at their fingertips.

What you’ll be doing

  • Working closely with internal stakeholders to define and deliver the data products and reports which meet their needs
  • Collaborating with data engineers and integration specialists within the team and across the wider business to deliver data pipelines, ETL processes and data models that meet requirements
  • Developing and maintaining a suite of engaging Power BI dashboards including enterprise level semantic models along with user and data permissions management
  • Owning and continuously improving the data models including data and KPI definitions ensuring consistency of use
  • Supporting analysts and researchers in the team with data-driven initiatives, ensuring they have the data at hand to complete projects
  • Developing, maintaining, and adhering to robust data and delivery processes including testing, monitoring, documentation, and issue resolution.
  • Contributing to the overall data literacy of the business by ensuring data and dashboards are understood and adopted
  • Supporting our wider company data strategy by contributing and adhering to our data development frameworks, and engaging with Data Governance to resolve quality and integrity issues

What we’re looking for

We're looking for someone with a broad range of competence, knowledge and skills which would help you succeed in this role, but it is not critical to meet every single criteria listed below. We encourage a wide range of applicants.

  • Proven mid to senior level experience in data engineering, data architecture design and delivery, and BI within a data-intensive environment
  • Working with data from multiple systems and structures and at different velocities including near real time
  • Strong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisation
  • Advanced SQL development including query development and optimisation, stored procedures, and performance tuning
  • Expert knowledge of end-to-end enterprise BI using Power BI including semantic modelling, DAX, Power Query, data visualisation best practice, report development, and performance optimisation
  • Advanced data modelling including dimensional modelling, star schema design, database layers, and data mart development
  • Knowledge of BI solution delivery methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production support
  • Strong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controls
  • Excellent documentation skills with the ability to create and maintain solution designs, data dictionaries, business glossaries and technical standards
  • Strong stakeholder management, communication and business partnering skills with the ability to translate business requirements into data solutions
  • Experience of marketing orchestration platforms (e.g. Bloomreach) or reverse ETL tools (e.g. HighTouch) is desirable
  • Knowledge of marketing and digital data (e.g. Google Analytics, BiqQuery) would be advantageous
  • Change management using JIRA and Confluence would be an advantage
  • Experience using and implementing AI agents for code creation and process efficiency would be advantageous

About AJ Bell

AJ Bell is one of the UK’s fastest-growing investment platform businesses, providing award-winning solutions for everyone, from professional financial advisers to first-time investors.

Today, over723,000 customers trust us to manage more than£108.7 billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures.

We’re proud to be recognised as one of the UK’s Best 100 Companies to Work For for six consecutive years, and a Great Place to Work in 2025 and 2026 a reflection of our supportive and collaborative culture.

What we offer

  • 25 days holiday, increasing with service + buy/sell scheme + bank holidays
  • 6% Pension with matched contributions
  • Discretionary bonus scheme
  • Share schemes (including free shares and BAYE)
  • Health Cash Plan and discounted private healthcare
  • Free onsite gym
  • Enhanced family leave (subject to qualifying criteria)
  • Travel and bike loan schemes
  • Employee Assistance Programme

Life at AJ Bell

  • Regular social events including summer and Christmas parties
  • Learning and development opportunities tailored to you
  • Casual dress code
  • Friendly, supportive team environment

Our ways of working

We offer hybrid working, with a minimum of50% of your working time per month spent in the office.

For new starters, there’s an initial period of full-time office working to help you settle in and build relationships.

Inclusion & diversity

We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work.

We welcome applications from all backgrounds and make hiring decisions based on skills, experience, and potential.

Related Jobs

View all jobs

Senior BI Developer

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

Senior Business Intelligence Manager

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

Senior Data Analyst

Eden James Consulting Ltd London, United Kingdom
On-site

Technical Business Analyst (Data & Reporting)

hireful Manchester, United Kingdom
£55,000 – £60,000 pa Hybrid

Data Architect

TRIA London, United Kingdom
Hybrid

Data Analyst

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

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.