Data Engineer

AJ Bell
hybrid, england, united kingdom
8 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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.