Data Engineer in Bolton

Data Engineer in Bolton

Bolton Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a dynamic team to design and build cutting-edge data platforms.
  • Company: AJ Bell, a leading investment platform known for its supportive culture.
  • Benefits: 25 days holiday, pension scheme, health cash plan, and hybrid working.
  • Other info: Enjoy regular social events and tailored learning opportunities.
  • Why this job: Make a real impact on data-driven decision-making in a fast-growing company.
  • Qualifications: Experience in data engineering and strong problem-solving skills required.

The predicted salary is between 63000 - 77000 £ 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 organisation 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

At AJ Bell, we believe investing should feel good. Whether you're looking for an ISA, pension or dealing account, whether you want to invest with the help of a financial adviser or do it yourself, we have easy-to-use solutions to suit people from all walks of life. We're one of the UK's fastest-growing investment platform businesses, trusted by everyone from professional financial advisers to first-time investors. Today, over 762,000 customers trust us to manage more than £121.5 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 Bolton employer: Hackajob Ltd

JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.

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Contact Details:

Hackajob Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Bolton

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hackajob Ltd!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Hackajob Ltd.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hackajob Ltd.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Hackajob Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer in Bolton

Data Warehousing
ELT Pipelines
Data Integration Design
Data Modelling
Cloud Data Platforms (e.g. Snowflake, BigQuery, Redshift)
Data Transformation Technology (e.g. DBT)
Python

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Hackajob Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hackajob Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Hackajob Ltd

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hackajob Ltd!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.