Data Engineer
Listed on 2026-05-23
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Software Development
Data Engineer
hackajob is collaborating with AJ Bell to connect them with exceptional professionals for this role.
Job DescriptionThis 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.
Whatdoes the job involve?
Key Responsibilities
- 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.
- Cloud data platforms (e.g. Snowflake, Big Query, 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 Bit Bucket
- 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
- 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
- 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
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 & diversityWe are committed to creating an inclusive environment where everyone feels respected and able to be themselves welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.
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