Data Engineer at AJ Bell
lancashire, Lancashire - England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

18 Nov, 26

Salary

0.0

Posted On

20 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

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?


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


Responsibilities
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