At a Glance
- Tasks: Join a dynamic team to design and maintain our cutting-edge data platform.
- Company: AJ Bell, a fast-growing investment platform trusted by over 723,000 customers.
- Benefits: 25 days holiday, pension scheme, health cash plan, and free onsite gym.
- Other info: Enjoy hybrid working, regular social events, and tailored learning opportunities.
- Why this job: Make a real impact on data-driven decision-making in a collaborative environment.
- Qualifications: Experience in data engineering, cloud platforms, and strong teamwork skills.
The predicted salary is between 60000 - 80000 £ 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.
- Collaborating with stakeholders to identify and refine data requirements, ensuring data accessibility and alignment with business needs.
- Developing Data Warehousing solutions.
- 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.
- Cloud data platforms (e.g. Data transformation technology such as DBT, Python, Data Warehouse/Kimball methodology, Data replication technology such as Fivetran HVR).
- Good knowledge of IT products and systems.
- Flexible approach to work - team player.
- Previous experience working in an e-commerce and/or financial services business.
- AWS cloud infrastructure including AWS CDK.
- MS SQL.
- No SQL database such as Mongo.
- AI Tools such as CoPilot, Snowflake Cortex.
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.
- 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.
- Regular social events including summer and Christmas parties.
- Learning and development opportunities tailored to you.
- Casual dress code.
- 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Manchester
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Engineer, Data Engineering in Manchester
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!
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Craft a Tailored Cover Letter:For a full-time role at Aj Bell, 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 Aj Bell. 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 Aj Bell
✨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!
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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 Aj Bell!
✨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.
