Job Description
As part of our continued growth and investment in our data and analytics capabilities, we’re recruiting for an experienced Senior BI Developer to 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
1. Working closely with internal stakeholders to define and deliver the data products and reports which meet their needs
2. 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
3. Developing and maintaining a suite of engaging Power BI dashboards including enterprise level semantic models along with user and data permissions management
4. Owning and continuously improving the data models including data and KPI definitions ensuring consistency of use
5. Supporting analysts and researchers in the team with data-driven initiatives, ensuring they have the data at hand to complete projects
6. Developing, maintaining, and adhering to robust data and delivery processes including testing, monitoring, documentation, and issue resolution.
7. Contributing to the overall data literacy of the business by ensuring data and dashboards are understood and adopted
8. 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.
9. Proven mid to senior level experience in data engineering, data architecture design and delivery, and BI within a data-intensive environment
10. Working with data from multiple systems and structures and at different velocities including near real time
11. Strong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisation
12. Advanced SQL development including query development and optimisation, stored procedures, and performance tuning
13. 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
14. Advanced data modelling including dimensional modelling, star schema design, database layers, and data mart development
15. Knowledge of BI solution delivery methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production support
16. Strong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controls
17. Excellent documentation skills with the ability to create and maintain solution designs, data dictionaries, business glossaries and technical standards
18. Strong stakeholder management, communication and business partnering skills with the ability to translate business requirements into data solutions
19. Experience of marketing orchestration platforms (e.g. Bloomreach) or reverse ETL tools (e.g. HighTouch) is desirable
20. Knowledge of marketing and digital data (e.g. Google Analytics, BiqQuery) would be advantageous
21. Change management using JIRA and Confluence would be an advantage
22. 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, over 723,000 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
23. 25 days holiday, increasing with service + buy/sell scheme + bank holidays
24. 6% Pension with matched contributions
25. Discretionary bonus scheme
26. Share schemes (including free shares and BAYE)
27. Health Cash Plan and discounted private healthcare
28. Free onsite gym
29. Enhanced family leave (subject to qualifying criteria)
30. Travel and bike loan schemes
31. Employee Assistance Programme
Life at AJ Bell
32. Regular social events including summer and Christmas parties
33. Learning and development opportunities tailored to you
34. Casual dress code
35. Friendly, supportive team environment
Our ways of working
We offer hybrid working, with a minimum of 50% 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.