Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines for a leading university's data systems.
- Company: Join a forward-thinking university with a focus on digital transformation.
- Benefits: Enjoy 30 days holiday, competitive salary, and flexible remote work options.
- Other info: Be part of a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact by enhancing data reliability and supporting analytics.
- Qualifications: Experience in data engineering and a passion for data-driven solutions.
The predicted salary is between 38784 - 43482 £ per year.
The Data Engineer is responsible for the design, development, and maintenance of the University’s data pipelines, integration frameworks, and structured data environments. They ensure that data from core systems, including the Student Management System and related platforms, is reliably extracted, transformed, validated, and made available for reporting, analytics, and regulatory submission.
They work closely with Systems Development, Business Systems, Data Analysts and enterprise stakeholders to implement scalable and secure data architectures that support operational reporting, statutory returns and business intelligence. The role strengthens data reliability, automation, and performance, reducing manual intervention and improving institutional confidence in data outputs.
Responsibilities:
- Design, develop, and maintain data pipelines and integration processes between institutional systems.
- Implement ETL/ELT processes to support reporting and analytics requirements.
- Ensure data accuracy, performance, and reliability within structured data environments.
- Collaborate with stakeholders to translate reporting and integration requirements into technical data solutions.
- Support data validation, reconciliation, and audit processes.
- Maintain secure handling and governance of institutional data assets.
- Comply with relevant legislative and other requirements (e.g. Data Protection Act 2018 and GDPR, Health and Safety, UKVI, Equality and Diversity) in all working practices.
- Perform additional duties as reasonably required.
Generous holiday entitlement (30 days per annum, plus)
Data Engineer employer: Buckinghamshire New University
Contact Detail:
Buckinghamshire New University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees in the data engineering field, especially those at the university. A friendly chat can give us insights into the role and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data pipelines and ETL processes. This will help us demonstrate our capabilities beyond just words on a CV.
✨Tip Number 3
Ace the interview by preparing for common data engineering questions. Brush up on your knowledge of data integration frameworks and be ready to discuss how we ensure data accuracy and reliability.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows that we’re genuinely interested in the position.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant technologies. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a personal project or something from a previous job, we want to see your hands-on experience with data solutions.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Buckinghamshire New University
✨Know Your Data Stuff
Make sure you brush up on your data engineering skills, especially around ETL/ELT processes and data pipeline design. Be ready to discuss specific projects you've worked on and the technologies you've used, as this will show your practical experience.
✨Understand the Role
Familiarise yourself with the responsibilities outlined in the job description. Think about how your previous experiences align with the tasks of designing and maintaining data pipelines, and be prepared to share examples that demonstrate your fit for the role.
✨Prepare Questions
Have a few thoughtful questions ready to ask the interviewers. This could be about their current data architecture or how they handle data governance. It shows you're genuinely interested in the role and helps you assess if it's the right fit for you.
✨Showcase Collaboration Skills
Since the role involves working closely with various stakeholders, be ready to discuss how you've successfully collaborated in the past. Highlight any experiences where you translated technical requirements into solutions, as this will demonstrate your ability to work effectively within a team.