"Assistant Professor in Data & Cloud Analytics (Teaching Focussed) (110986-1025)"

About the Role

For informal enquiries, please contact Dr Awinder Kaur (Head of Digital Technologies and Machine Intelligence (DTMI) Education Group) at awinder.kaur@warwick.ac.uk.

We are seeking to appoint an Assistant Professor (Teaching-Focused) with experience of developing or delivering modules or skills in the field of Data Engineering and Cloud Analytics.

The successful candidate will have a developing professional or academic experience in building and teaching data analytics and machine learning pipelines and play a role in developing modules in areas of relevance to WMG.

We are particularly interested in applicants with knowledge and teaching experience in:

• Big Data frameworks and technologies (e.g. Apache Spark).
• SQL and NoSQL databases.
• Cloud platforms such as AWS or Google Cloud Platform (GCP).
• CI/CD pipelines, Apache Airflow, and API development.
• Building and deploying data analytics / machine learning pipelines in real-world scenarios.

This role is on the University of Warwick Teaching Career Pathway, providing opportunities for advancement up to and including Professor level.

This is an education focussed appointment and we are looking for candidates who can demonstrate experience of teaching in higher education and a passion for impactful education and positive student outcomes. Candidates with a track record in research outputs but limited educational experience are unlikely to be shortlisted for this role.

About You

The role will suit individuals with a passion for applied, industry-focused education, and those who teach technical content in practical and engaging ways.

You will have opportunities to shape content that prepares students for careers in data engineering, data analytics, and AI deployment at scale.

For roles at Assistant Professor level the successful candidate will hold a doctorate, or equivalent professional qualification alongside a postgraduate degree, and have experience of teaching in a higher education context.

For details on the experience and skills required, please refer to the job description attached as a PDF below.

How to Apply

CLOSING DEADLINE: Thursday 20th November 2025 at 11:55pm (UK Time)

To apply, please click "Apply" below and submit an application form by the closing deadline. You will be asked to include a CV and a cover letter.