Data Engineer
Manchester Digital
Job Description
This is an exciting opportunity to join a dynamic and experienced Data Engineering team at AJ Bell, contributing significantly to the development of our state‑of‑the‑art data platform using cutting‑edge technology. As a Data Engineer, you will play a pivotal role in designing, building, maintaining, and evolving our data infrastructure, ensuring it meets the growing needs of our business. You'll engage in end-to-end development, collaborate closely with key stakeholders and internal customers, and empower the organisation by enabling informed, data‑driven decision‑making.
What does the job involve? Key Responsibilities Collaborating with stakeholders to identify and refine data requirements, ensuring accessibility and alignment with business needs. Developing Data Warehousing solutions.
Automating ELT pipelines that follow modern CI/CD practices. Designing data integration for scalability, efficiency and future‑proofing. Producing clear data models when required.
Maintaining and continuously enhancing the data platform. Provisioning data from various sources. Creating automated tests to ensure quality and integrity of data.
Ensuring compliance with AJ Bell’s Data Governance and Data Classification policies. Maintaining the data dictionary. Maintaining the business‑level data model.
Recommending and introducing new technology where needed. Core Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git‑based source control system such as BitBucket Data Warehouse/Kimball methodology Data replication technology such as Fivetran or HVR Excellent problem‑solving skills Good communication skills and comfortable working with both technical and non‑technical teams Other Good knowledge of IT products and systems Good analytical skills Excellent verbal and written communication skills Confidence and effectiveness in communicating with people at all levels Ability to prioritise work effectively Customer‑focused Flexible approach to work – team player Adaptable to changing environments Self‑motivated Embraces continuous learning Previous experience in e‑commerce and/or financial services Ability to use Docker and container orchestration tools AWS cloud infrastructure including AWS CDK MS SQL NoSQL database such as Mongo AI tools such as Copilot and Snowflake Cortex 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 644,000 customers trust us to manage more than £103.3 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 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. #J-18808-Ljbffr