Data Engineer at AJ Bell

Manchester, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Data Platforms, DBT, Visual Studio Code, Python, Jenkins, BitBucket, Data Warehousing, Kimball Methodology, Fivetran, HVR, Problem-Solving, Communication, Data Integration, Data Modelling, CI/CD, Data Governance

Industry

Financial Services

Description

Job Description Purpose of the role 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? The key responsibilities of the role are as follows: Collaborating with stakeholders to identify and refine data requirements, ensuring data is accessibility and alignment with business needs. Developing Data Warehousing solutions. Automating extract, load and transform (ELT) pipelines that follow modern CI/CD practices. Data Integration Design – Ensure development is scalable, efficient and future-proof. Data Modelling – Producing clear data models where necessary. Maintaining and continuously enhancing the data platform. Provisioning data from various sources. Create automated tests to ensure quality and integrity of data. Ensure data is compliant with AJ Bell’s Data Governance and Data Classification policies. Maintain data dictionary. Maintain 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 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 communication skills verbal and written Able to communicate with people at all levels confidently and effectively Able to prioritise work effectively Customer focussed Flexible approach to work - team player Adaptable to changing environment Self-motivated Embraces continuous learning Previous experience working in an e-commerce and/or financial services business Ability to use Docker and container orchestration tools AWS cloud infrastructure including AWS CDK MS SQL No SQL database such as Mongo AI Tools such as CoPilot, Snowflake Cortex About us AJ Bell is one of the fastest-growing investment platform businesses in the UK offering an award-winning range of solutions that caters for everyone, from professional financial advisers to DIY investors with little to no experience. We have over 644,000 customers using our award-winning platform propositions to manage assets totalling more than £103.3 billion. Our customers trust us with their investments, and by continuously striving to make investing easier, we aim to help even more people take control of their financial futures. Having listed on the Main Market of the London Stock Exchange in December 2018, AJ Bell is now a FTSE 250 company. Headquartered in Manchester with offices in central London and Bristol, we now have over 1,500 employees and have been named one of the UK's 'Best 100 Companies to Work For’ for six consecutive years and in 2025 named a Great Place to Work®. At AJ Bell you can expect a friendly working environment with a strong sense of teamwork, we have a great sense of pride in what we do, and this is reflected in our guiding principles. Our perks and benefits Competitive starting salary Starting holiday entitlement of 25 days, increasing up to 31 days with length of service and a holiday buy and sell scheme A choice of pension schemes with matched contributions up to 6% Discretionary bonus scheme Annual free share awards scheme Buy As You Earn (BAYE) Scheme Health Cash Plan – provided by SimplyHealth Private healthcare scheme and dental plan Free gym membership Employee Assistance Programme Bike loan scheme Sick pay+ pledge Enhanced maternity, paternity, and shared parental leave Loans for travel season tickets Death in service scheme Paid time off for volunteer work Charitable giving opportunities through salary sacrifice Calendar of social events, including monthly payday drinks, annual Christmas party, summer party and much more Ongoing technical training Professional qualification support Talent development programmes Peer recognition scheme, with rewards including restaurant and shopping vouchers or time off Monthly leadership breakfasts and lunches Hybrid working At AJ Bell, our people are the heart of our culture. We believe in building strong connections by working together. That's why we offer a hybrid working model, where you’ll spend a minimum of 50% of your working time per month in the office. For new team members, an initial period will be full-time in the office to help you immerse yourself in our business and build valuable relationships with your colleagues. AJ Bell is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and all employees are empowered to bring their whole self to work. Business Areas: Technology Services Location: Manchester Department: Enterprise Architecture

Responsibilities

The Data Engineer will be pivotal in designing, building, maintaining, and evolving the data infrastructure, ensuring it meets business needs through end-to-end development. Key tasks include collaborating on data requirements, developing Data Warehousing solutions, and automating ELT pipelines using modern CI/CD practices.