Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

AJ Bell
hybrid, england, united kingdom
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Description

Purpose of the role

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 skills
  • Excellent communication skills verbal and written
  • Able to communicate with people at all levels confidently and effectively
  • Able to prioritise work effectively
  • Customer focussed
  • 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

About us:

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 561,000 customers using our award-winning platform propositions to manage assets totalling more than £89.5 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 1,450 employees and have been named one of the UK's 'Best 100 Companies to Work For’ for six consecutive years and in 2024 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.

What we offer:

  • Starting holiday entitlement of 25, 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
  • Discounted private healthcare scheme and dental plan
  • Free onsite gym
  • 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
  • Personal development programmes built around you and your career goals, including access to personal skills workshops
  • 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
  • Casual dress code
  • Access to a range of benefits from our sponsorship deals

Hybrid working:

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.

We do not discriminate on the basis of race, sex, gender identity, sexual orientation, age, pregnancy, religion, physical and mental disability, marital status and any other characteristics protected by the Equality Act 2010. All decisions to hire are based on qualifications, merit and business need.

If you like the sound of the above, or just want to know more about the company and the role, we'd love to speak to you.


Array

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.