AJ Bell

Financial Services

DataEngineer

£60–85k ~AI est. Manchester, England, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Engineer at AJ Bell. Skills: Data Engineering, Data Platform, Cloud Data Platforms. Collaborate with stakeholders. Identify data requirements”

Industry & Context.

Financial Services
Problems you'll solve

Problem-solving skills; Analytical skills

What They're Looking For.

Must Have

5+ years experience, Data Governance policies, Data Classification policies

Nice to Have

e-commerce experience, financial services experience, AWS cloud infrastructure, AWS CDK, MS SQL, No SQL database, Mongo, AI Tools, CoPilot, Snowflake Cortex

What You'll Do.

Collaborate with stakeholders

Identify data requirements

Refine data requirements

Ensure data accessibility

Align data with business needs

Develop Data Warehousing solutions

Automate ELT pipelines

Follow CI/CD practices

Design Data Integration

Ensure development scalability

Ensure development efficiency

Ensure development future-proofing

Perform Data Modelling

Produce clear data models

Maintain data platform

Enhance data platform

Provision data from sources

Create automated tests

Ensure data integrity

Ensure data compliance

Maintain data dictionary

Maintain business data model

Recommend new technology

Introduce new technology

How You'll Work.

Team & Collaboration

Technical teams; Non-technical teams; Key stakeholders; Internal customers

Communication Scope

Verbal communication; Written communication; Communicate confidently; Communicate effectively

Process & Methodology

CI/CD practices

Full 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 sk

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