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- Tasks: Join our Data Engineering team to design and build a cutting-edge data platform.
- Company: AJ Bell, a fast-growing investment platform with a collaborative culture.
- Benefits: Competitive salary, generous holiday, health plans, and professional development opportunities.
- Why this job: Make a real impact by enabling data-driven decisions in a dynamic environment.
- Qualifications: Experience in data engineering and strong problem-solving skills required.
- Other info: Enjoy hybrid working and a vibrant workplace culture with social events.
The predicted salary is between 28800 - 48000 £ 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 will 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.
The key responsibilities of the role are as follows:
- Collaborating with stakeholders to identify and refine data requirements, ensuring data 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.
- Creating automated tests to ensure quality and integrity of data.
- Ensuring data is compliant with AJ Bell’s Data Governance and Data Classification policies.
- Maintaining data dictionary.
- Maintaining business level data model.
- Recommending and introducing new technology where needed.
Core skills required:
- 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 skills include:
- 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
AJ Bell is one of the fastest-growing investment platform businesses in the UK offering an award-winning range of solutions that caters for everyone, from professional financial advisers to DIY investors with little to no experience. We have over 644,000 customers using our award-winning platform propositions to manage assets totalling more than £103.3 billion. Our customers trust us with their investments, and by continuously striving to make investing easier, we aim to help even more people take control of their financial futures.
Having listed on the Main Market of the London Stock Exchange in December 2018, AJ Bell is now a FTSE 250 company. Headquartered in Manchester with offices in central London and Bristol, we now have over 1,500 employees and have been named one of the UK's 'Best 100 Companies to Work For’ for six consecutive years and in 2025 named a Great Place to Work®.
At AJ Bell you can expect a friendly working environment with a strong sense of teamwork, we have a great sense of pride in what we do, and this is reflected in our guiding principles.
Our perks and benefits include:
- Competitive starting salary
- Starting holiday entitlement of 25 days, increasing up to 31 days with length of service and a holiday buy and sell scheme
- A choice of pension schemes with matched contributions up to 6%
- Discretionary bonus scheme
- Annual free share awards scheme
- Buy As You Earn (BAYE) Scheme
- Health Cash Plan – provided by SimplyHealth
- Private healthcare scheme and dental plan
- Free gym membership
- Employee Assistance Programme
- Bike loan scheme
- Sick pay+ pledge
- Enhanced maternity, paternity, and shared parental leave
- Loans for travel season tickets
- Death in service scheme
- Paid time off for volunteer work
- Charitable giving opportunities through salary sacrifice
- Calendar of social events, including monthly payday drinks, annual Christmas party, summer party and much more
- Ongoing technical training
- Professional qualification support
- Talent development programmes
- Peer recognition scheme, with rewards including restaurant and shopping vouchers or time off
- Monthly leadership breakfasts and lunches
At AJ Bell, our people are the heart of our culture. We believe in building strong connections by working together. That’s why we offer a hybrid working model, where you’ll spend a minimum of 50% of your working time per month in the office. For new team members, an initial period will be full-time in the office to help you immerse yourself in our business and build valuable relationships with your colleagues. AJ Bell is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and all employees are empowered to bring their whole self to work.
Data Engineer employer: Aj Bell
Contact Detail:
Aj Bell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at AJ Bell on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with tools like Python, DBT, and cloud platforms, make sure you can talk confidently about your experience and how you've used these technologies in past projects.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss specific challenges you've faced in data engineering and how you tackled them. This will demonstrate your ability to think critically and adapt to new situations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the AJ Bell team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that match the job description, like your expertise in cloud data platforms or data transformation technologies.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at AJ Bell. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work, especially if it involves ELT pipelines or data modelling. We love seeing what you can do!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us!
How to prepare for a job interview at Aj Bell
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Snowflake, DBT, and Python. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Highlight your analytical skills and how you approached problem-solving, especially in a collaborative environment.
✨Understand Data Governance
Brush up on data governance principles and compliance standards relevant to the role. Be prepared to discuss how you ensure data quality and integrity in your work, as this is crucial for AJ Bell.
✨Communicate Effectively
Practice explaining technical concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. Good communication can set you apart, so be confident and clear in your responses.
