At a Glance
- Tasks: Join a dynamic team to design and maintain cutting-edge data platforms.
- Company: AJ Bell, a fast-growing investment platform with a supportive culture.
- Benefits: 25 days holiday, competitive salary, and opportunities for professional growth.
- Other info: Embrace continuous learning in a flexible, collaborative environment.
- Why this job: Make a real impact in data engineering while shaping the future of finance.
- Qualifications: Experience in data engineering and strong problem-solving skills.
The predicted salary is between 40000 - 50000 £ per year.
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?
- Collaborating with stakeholders to identify and refine data requirements, ensuring data is accessible and aligned 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 focused
- 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
AJ Bell is one of the UK’s fastest-growing investment platform businesses, providing award-winning solutions for everyone, from professional financial advisers to first-time investors. Today, over 723,000 customers trust us to manage more than £108.7 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 +
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Manchester)
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We think you need these skills to ace Data Engineer (Manchester)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Aj Bell
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
