At a Glance
- Tasks: Join our Data Engineering team to design and build a cutting-edge data platform.
- Company: AJ Bell, a fast-growing investment platform known for its supportive culture.
- Benefits: Enjoy 25 days holiday, a pension scheme, and health benefits.
- Other info: Hybrid working model with regular social events and tailored development opportunities.
- Why this job: Make a real impact by enabling data-driven decisions in a dynamic environment.
- Qualifications: Experience with data engineering and strong problem-solving skills required.
The predicted salary is between 50000 - 70000 £ 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 organization by enabling informed, data-driven decision-making.
What does the job involve?
- 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:
- 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 + 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.
Data Engineer in Manchester employer: 慨正橡扯
AJ Bell is an exceptional employer, renowned for its supportive and collaborative culture that fosters employee growth and development. With a commitment to work-life balance through hybrid working options, generous benefits including a 6% pension match, and a vibrant social scene, AJ Bell empowers its Data Engineers to thrive in a dynamic environment while contributing to innovative financial solutions. Join us and be part of a company recognised as one of the UK's Best 100 Companies to Work For, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at AJ Bell on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud platforms and automation. This will help you stand out during interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and CI/CD practices. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to AJ Bell's data platform.
✨Tip Number 4
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 in Manchester
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. We want to see how you can contribute to our team!
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 needs at AJ Bell. Don’t forget to mention any specific projects or achievements that showcase your skills.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, so don’t hold back on sharing your success stories!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at 慨正橡扯
✨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
AJ Bell places importance on data compliance and governance. Brush up on their policies and be prepared to discuss how you ensure data integrity and compliance in your work.
✨Communicate Effectively
Since you'll be working with both technical and non-technical teams, practice explaining complex concepts in simple terms. Good communication can set you apart, so think about how you can convey your ideas clearly during the interview.
