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Data Engineer

AJ Bell
Manchester, GBR
Full-time
Mid
Hybrid
Discovered 2 weeks ago
SnowflakeBigQueryRedshiftDBTVisual Studio CodePython
Free

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Key skills for this role

SnowflakeBigQueryRedshift
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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 AJ Bell

At AJ Bell, we believe investing should feel good. Whether you're looking for an ISA, pension or dealing account, whether you want to invest with the help of a financial adviser or do it yourself, we have easy-to-use solutions to suit people from all walks of life.

We're one of the UK's fastest-growing investment platform businesses, trusted by everyone from professional financial advisers to first-time investors.

Today, over 762,000 customers trust us to manage more than £121.5 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.

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