Lecturer in Data Engineering
| Posting date: | 23 February 2026 |
|---|---|
| Salary: | £38,784 to £46,049 per year |
| Hours: | Full time |
| Closing date: | 08 March 2026 |
| Location: | Bristol, South West England |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | University West of England |
| Job type: | Permanent |
| Job reference: | R08972 |
Summary
The School of Computing and Creative Technologies at UWE Bristol is rapidly expanding, with around 130 academic staff and over 2,500 undergraduate and postgraduate students. Our state-of-the-art programmes cover a wide range of computing disciplines, and we also support a growing and successful body of research.
About you
Candidates for the Lecturer in Data Engineering position should have substantial professional/industry experience OR a PhD in Data Science, Computer Science, or related discipline with industry-relevant research data skills and/or ongoing industry collaboration. Knowledge and expertise in one or more areas relevant to data engineering is essential, including but not limited to:
• Cloud-based data engineering, including in-depth experience with providers such as AWS or Azure, and CI/CD pipelines for model deployment.
• Modern data infrastructure for AI, such as graph and vector databases and other emerging solutions designed to support machine learning workflows.
• Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems applied in some specialised domain, ideally with experience of local model training and deployment
The primary focus of this role will be teaching and the development of teaching practice within the field, and we will expect you to support teaching on our programmes.
Where is this role based?
This post is based at our lively Frenchay campus
Why UWE Bristol?
We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe.
We offer a wide range of employee benefits as well as retail savings, onsite nursery and opportunities for training and personal development.
We also provide a tailored professional programme to support our academic colleagues in delivering the highest in professional teaching standards.
Add your individuality to ours
UWE Bristol recognises the power of a truly diverse university community.
We are proud to be part of a vibrant, multicultural city that celebrates diversity, we’re always looking for talented people from all backgrounds to join us.
We particularly encourage applications from global majority and female candidates as we are currently under-represented in this area of the organisation, however all appointments are made strictly on individual merit.
As a Disability Confident employer, we welcome applications from those who identify as having a disability.
Further information
If you would like to speak to us to find out more about this role please contact Rachel Long (Rachel2.Long@uwe.ac.uk) or Kevin Golden (Kevin.Golden@uwe.ac.uk).
This is a permanent post, and is full-time
This post is available on a job share basis for applicants wishing to work part time
This role is campus based with some opportunity to work from remote/home working.
You will be required to provide evidence of your right to work in the UK, please refer to the Home Office Right to Work Checklist for information on which documents are acceptable.
We may be able to sponsor qualifying candidates for this role under the Home Office Skilled Worker visa route. Please read our Skilled Worker Guidance to assess if you will be eligible.
Please note that UWE Bristol does not cover any visa or health surcharge costs.
About you
Candidates for the Lecturer in Data Engineering position should have substantial professional/industry experience OR a PhD in Data Science, Computer Science, or related discipline with industry-relevant research data skills and/or ongoing industry collaboration. Knowledge and expertise in one or more areas relevant to data engineering is essential, including but not limited to:
• Cloud-based data engineering, including in-depth experience with providers such as AWS or Azure, and CI/CD pipelines for model deployment.
• Modern data infrastructure for AI, such as graph and vector databases and other emerging solutions designed to support machine learning workflows.
• Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems applied in some specialised domain, ideally with experience of local model training and deployment
The primary focus of this role will be teaching and the development of teaching practice within the field, and we will expect you to support teaching on our programmes.
Where is this role based?
This post is based at our lively Frenchay campus
Why UWE Bristol?
We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe.
We offer a wide range of employee benefits as well as retail savings, onsite nursery and opportunities for training and personal development.
We also provide a tailored professional programme to support our academic colleagues in delivering the highest in professional teaching standards.
Add your individuality to ours
UWE Bristol recognises the power of a truly diverse university community.
We are proud to be part of a vibrant, multicultural city that celebrates diversity, we’re always looking for talented people from all backgrounds to join us.
We particularly encourage applications from global majority and female candidates as we are currently under-represented in this area of the organisation, however all appointments are made strictly on individual merit.
As a Disability Confident employer, we welcome applications from those who identify as having a disability.
Further information
If you would like to speak to us to find out more about this role please contact Rachel Long (Rachel2.Long@uwe.ac.uk) or Kevin Golden (Kevin.Golden@uwe.ac.uk).
This is a permanent post, and is full-time
This post is available on a job share basis for applicants wishing to work part time
This role is campus based with some opportunity to work from remote/home working.
You will be required to provide evidence of your right to work in the UK, please refer to the Home Office Right to Work Checklist for information on which documents are acceptable.
We may be able to sponsor qualifying candidates for this role under the Home Office Skilled Worker visa route. Please read our Skilled Worker Guidance to assess if you will be eligible.
Please note that UWE Bristol does not cover any visa or health surcharge costs.
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.