Hybrid Data Engineer: Build Modern ELT Pipelines in Manchester

Hybrid Data Engineer: Build Modern ELT Pipelines in Manchester

Manchester Full-Time 50000 - 65000 £ / year (est.) Home office (partial)

At a Glance

  • Tasks: Design and build modern ELT pipelines for a cutting-edge data platform.
  • Company: Join AJ Bell, one of the UK's fastest-growing investment platforms.
  • Benefits: Enjoy 25 days holiday, a generous pension scheme, and health benefits.
  • Other info: Hybrid working model with a supportive team and great career growth opportunities.
  • Why this job: Make a real impact in data engineering while working with innovative technologies.
  • Qualifications: Experience in data engineering and strong problem-solving skills required.

The predicted salary is between 50000 - 65000 £ 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.
  • 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 + 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.

Hybrid Data Engineer: Build Modern ELT Pipelines in Manchester employer: 慨正橡扯

AJ Bell is an exceptional employer, recognised as one of the UK’s Best 100 Companies to Work For for six consecutive years. With a supportive and collaborative culture, employees benefit from tailored learning and development opportunities, a generous holiday allowance, and a range of health and wellness initiatives. The hybrid working model promotes work-life balance while fostering strong team relationships, making AJ Bell an ideal place for those seeking meaningful and rewarding careers in the financial services sector.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Data Engineer: Build Modern ELT Pipelines in Manchester

Tip Number 1

Network like a pro! Reach out to current employees at AJ Bell on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio that highlights your experience with ELT pipelines, data warehousing, and any relevant tech like Python or DBT. This will make you stand out during interviews.

Tip Number 3

Be ready to discuss real-world scenarios! Think about how you've tackled data challenges in the past and be prepared to share those stories. AJ Bell loves problem-solvers who can think on their feet.

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 Hybrid Data Engineer: Build Modern ELT Pipelines in Manchester

Data Engineering
Data Warehousing
ELT Pipelines
Cloud Data Platforms (e.g. Snowflake, BigQuery, Redshift)
Data Transformation Technology (e.g. DBT)
Python
CI/CD Practices

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your experience with cloud data platforms and ELT pipelines, as these are key to what we’re looking for.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this opportunity at AJ Bell. Share specific examples of how you've collaborated with stakeholders or developed data solutions in the past.

Showcase Your Problem-Solving Skills:In your application, don’t shy away from sharing instances where you’ve tackled complex data challenges. We love seeing how you approach problem-solving, especially in a team setting.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!

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 the Business Context

Research AJ Bell and its business model. Understand how data engineering contributes to their goals, especially in the financial services sector. This will help you align your answers with their needs during the interview.

Communicate Effectively

Practice explaining technical concepts in simple terms. Since you'll be working with both technical and non-technical teams, being able to communicate clearly is crucial. Prepare to demonstrate this skill during your interview.