At a Glance
- Tasks: Build and optimise data pipelines on Azure to drive strategic decisions.
- Company: Join Castle Trust Bank, a fintech challenger bank focused on innovation.
- Benefits: Enjoy competitive salary, performance bonuses, generous holiday, and private healthcare.
- Other info: Hybrid role with opportunities for personal development and career growth.
- Why this job: Shape the future of data and make a real impact in a supportive environment.
- Qualifications: Proficient in Databricks, SQL, Python, and Azure; strong communication skills required.
The predicted salary is between 63000 - 77000 £ per year.
Shape the future of data at a bank that sees data as its greatest asset. At Castle Trust Bank we pride ourselves in being a fintech challenger bank, providing specialist property mortgages, retail finance lending and savings accounts to a variety of customers. We're investing in the people and technologies that turn data into our biggest advantage.
As a Data Engineer, you'll build and optimise our Azure-based data platform, helping us deliver scalable, reliable solutions that power strategic decision‑making across the Bank.
What you'll deliver:
- Reporting to the Lead Data Engineer, you'll collaborate across the Data Team and wider business to build high-quality data pipelines and models that enable trusted insight and innovation.
- Building production‑grade data pipelines is one of your core strengths. You'll use Azure Databricks and Azure DevOps to develop, test, and maintain reliable ELT workflows, to ensure accurate, accessible, and trusted data across the organisation.
- You're curious about new technologies, whether it's orchestration tools, data quality frameworks, or AI data pipelines, and you're excited to contribute ideas that drive innovation across the Bank.
This is a hybrid role based in Basingstoke, with flexibility to work 2 days from home per week.
What you'll bring:
- You're a hands-on engineer with a sharp eye for detail, a passion for clean data, and a drive to turn complexity into clarity.
- With high attention to detail and a commitment to delivering high-quality outcomes, you will also be a strong communicator and able to work effectively with technical and non-technical stakeholders.
- You will also need to have the below experience:
Essential
- Proficient in Databricks, SQL, Python and Azure Synapse.
- Strong grasp of data modelling (e.g., Kimball).
- Familiarity with CI/CD practices for data pipelines (e.g., Azure DevOps).
- Experience applying data quality and validation techniques.
Desirable
- Relevant industry certifications such as Databricks, Azure Data Engineer Associate.
- Degree or equivalent practical experience in computer science or data engineering.
- Exposure to Power BI or other visualisation tools.
- Interest in machine learning or generative AI tools and techniques.
- A background in regulated or financial services environments.
We value continuous personal development and will support you with opportunities to build your skills, gain certifications, and grow your career.
Why join Castle Trust Bank?
- Competitive salary.
- Performance bonus (based on individual and company performance).
- Generous contributory pension through Hargreaves Lansdown.
- Life Assurance.
- 25 days' holiday + option to buy/sell 5 days.
- Additional paid volunteering day.
- Private healthcare through Equipsme (includes cash back for Dental and Optical treatment).
- Free access to BHSF Rise EAP to support colleague health and wellbeing.
- Gym discounts.
- Season ticket travel loans (if applicable).
- Hybrid working (3 days in Basingstoke).
- A supportive, inclusive culture where your work has real impact.
Castle Trust Bank is an equal opportunity employer where we celebrate diversity and are committed to creating an inclusive environment for all our colleagues to thrive. We welcome applications from all and will not discriminate against any status/characteristic protected by law and will always base our decisions on merit.
We are proud to support people with disabilities and are committed to be a Disability Confident employer. If you are a person with a disability and meet the minimum criteria for the role you will be offered an interview. Should you require any reasonable adjustment to support you in your application for one of our opportunities, please contact talent@castletrust.co.uk.
Data Engineer in Basingstoke employer: Castle Trust Group
Castle Trust Bank is an exceptional employer that prioritises employee growth and well-being, offering a competitive salary, performance bonuses, and generous benefits including private healthcare and a contributory pension. With a supportive and inclusive culture based in Basingstoke, employees have the opportunity to work on innovative data solutions while enjoying a hybrid work model that promotes work-life balance. Join us to make a meaningful impact in the banking sector and advance your career in a dynamic environment focused on data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Basingstoke
✨Get Involved in Data Science Meetups
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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 Castle Trust Group.
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We think you need these skills to ace Data Engineer in Basingstoke
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 Castle Trust Group, 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 Castle Trust Group. 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 Castle Trust Group
✨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 Castle Trust Group!
✨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.
