Full Time (37hours per week) - Fixed Term (23 months) - High Wycombe
Salary £38,784 - £43,482
Buckinghamshire New University is an ambitious, modern university that is always open to fresh ideas and thinking. We believe in the transformative power of education, and in doing the right thing by our students, people and local community. That’s why our BNU community is a special place to work and study, and where people who want to make a difference can contribute and succeed.
Our University’s DRIVE values and are at the heart of all that we do. We are united in being dynamic, responsible, inclusive, visionary and empowering to ensure that we provide the best experience to our learners and offer excellent service to our partners and to each other as colleagues. Our commitment to these values is unwavering and they are central to our mission.
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.
What we offer:
a generous holiday entitlement (30 days per annum, plus bank holidays & closure days)
hybrid working (dependent on business needs)
training & development support opportunities
contributory pension scheme
discounted gym membership for our on-site gym
a range of staff discounts with major retailers.
Please click here to see our wide range of benefits available for employees.
Please click here for our behavioural based interview question bank.
Please click here to view our employee handbook.
If you have the qualities and attributes representative of the University’s values and ambition, we would be delighted to hear from you.
All applications are to be made in full and online.
BNU is proud to have a diverse community and a strong track record of diversity, equity and inclusion. We are committed to promoting an inclusive and diverse workplace and aim to continue building an environment where everyone thrives and can be themselves. We therefore particularly encourage applications from candidates who are likely to be underrepresented in BNU’s workforce. These include people from global majority backgrounds, people with disabilities, and LGBTQI+ people, particularly in more senior roles.
Please let us know if you require any adjustments or support during the recruitment process. We are happy to discuss any reasonable adjustments that would enable you to perform to the best of your abilities in your role. Please reach out to David.Weight @bnu.ac.uk if you have any specific needs or if you would like more information on how we can support you.
We ensure that our interview/shortlisting Chairs complete the relevant e-learning and/or inclusive recruitment training.
If you’re considering using AI to support your application, we encourage you to question the value it adds. The use of AI tools sometimes erodes authenticity and prevents us from being able to assess the real you. We strongly recommend you prepare your application using your own skills and knowledge and that AI is only used for the purpose of review.
Closing Date: 10th May 2026
Interview Date: 29th May 2026
If you are invited to interview for this role, you will need to provide evidence of your eligibility to work in the UK and if on a Visa, current visa and status. Sponsorship is dependent on the salary level of the position
BNU is a Disability Confident employer and as such you will be given the opportunity to declare a disability as part of the application process.
Job Description
JOB DESCRIPTION
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.
Compliance & General
PERSON SPECIFICATION – Essential Criteria Only
A = Application T = Test I = Interview
Behavioural INDICATORS
The BNU Behaviours Framework (BBF) is a framework for all University staff that sets out the key behaviours that exemplify the DRIVE values and ethos of the University. The nine categories provide a clear steer on behavioural expectations that will help support a step change in the performance and culture of the University. The three key behavioural indicators for this post are as follows:
Finding solutions
Taking a holistic view and working enthusiastically to analyse problems and to develop workable solutions. Identifying opportunities for innovation.
Embracing change
Being open to and engaging with new ideas and ways of working. Adjusting to unfamiliar situations, shifting demands and changing roles.
Achieving results
Consistently meeting agreed objectives and success criteria. Taking personal responsibility for getting things done.
Use our AI to tailor your resume for this DATA ENGINEER position at Buckinghamshire New University.