AJ Bell
Financial Services
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at AJ Bell. Skills: Data Engineering, Data Platform, Cloud Data Platforms. Collaborate with stakeholders. Identify data requirements”
Industry & Context.
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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