Assistant Professor (Teaching Focussed) in Data Engineering & Applied Analytics (110986-0226)

E-MODE STORE Paris
Coventry
1 day ago
Create job alert
Re-advertisement Notice

This is a re-advertisement. Previous candidates for this role need not apply.


About the Role

Location: University of Warwick Campus, Coventry
Department: WMG
Position Type: Fixed Term
Duration: Fixed‑term contract for 3 years
Salary: £47,389 to £56,535 per annum


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


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



  • Data engineering concepts and data pipeline development
  • Data analytics and applied data science methods
  • SQL and NoSQL databases
  • Big data technologies (e.g. Apache Spark or similar)
  • Cloud‑based data platforms (e.g. AWS, Azure, GCP)
  • Building and deploying data analytics or machine learning solutions in applied settings

This role is on the University of Warwick Teaching Career Pathway, providing opportunities for advancement up to and including Professor level. It is an education‑focused 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 data‑driven innovation.


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.


About the Department

WMG is the largest department at the University of Warwick with over 800 staff and nearly 3,000 students across undergraduate and postgraduate programmes in management, technology, and applied engineering. WMG is world‑renowned for providing innovative solutions to industry through its research, development and education programmes. Our industry‑focused education portfolio includes nearly 3,000 students studying management, technology and applied engineering subjects at postgraduate and undergraduate level. Our courses are regularly ranked top in the UK and amongst the leading courses in their field in the world.


We are committed to supporting staff to achieve their potential. We currently hold the Athena SWAN Silver Award, and the University of Warwick holds an Institutional Silver Award. We support caring responsibilities, offer generous maternity/paternity/adoption/parental leave, and provide onsite childcare facilities. Flexible working arrangements are available even for full‑time positions where feasible.


About the University

The University of Warwick is a world‑leading research‑intensive university founded in 1965. It is ranked 106th in the world and 8th in the UK. 92% of our research is rated world‑leading or internationally excellent.


How to Apply

CLOSING DEADLINE: Sunday 15th March 2026 at 11:55pm (UK Time)


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


Your CV Should Include



  • Your education and employment history (including your most recent employment)
  • Any other relevant experience (e.g. volunteering, extracurricular, etc.)

Your Cover Letter Should Explain



  • Your motivations for applying to the role
  • Using examples, how you meet the essential and desirable criteria detailed in the application

All essential criteria must be met by candidates who are invited to interview.



  • Interview Date: To be confirmed
  • Start Date: 1st May 2026 (Negotiable based on notice period)

Please note application forms must be submitted before the stated deadline – you will not be able to submit after 23:55. Only applications submitted via our official careers portal (warwick-careers.tal.net) will be considered.


What We Offer

  • An attractive pension scheme
  • 30 days holiday plus University Christmas closure
  • Generous parental/adoption leave policy
  • Onsite childcare facilities
  • Excellent learning and development opportunities

We recognise the importance of a healthy work/life balance and offer access to flexible working arrangements. We are also a Living Wage employer.


Our Commitment to Inclusion

Equality, Diversity & Inclusion: Warwick is committed to fostering a diverse, inclusive and respectful community where everyone can thrive. We welcome applications from all backgrounds, cultures, and communities, and actively encourage candidates from underrepresented groups.


Find out more about our Social Inclusion work and our awards and accreditations.


Safeguarding & DBS

  • Roles involving regulated activity are subject to a Disclosure and Barring Service (DBS) check at the appropriate level, in line with the DBS Code of Practice
  • The University will ensure that anyone subject to a barring order does not undertake any work with the barred group (children and/or adults)
  • All employees, volunteers and partners are expected to share our commitment to safeguarding

Rehabilitation of Ex‑Offenders

The University will not discriminate against applicants who make a disclosure relating to a conviction. Disclosures at application stage are only visible to the DBS team, not to hiring panels.


Right to Work in the UK

If you do not yet have the right to work in the UK and/or are seeking sponsorship for a Skilled Worker visa, please follow this link which contains further information about obtaining the right to work in the UK.



#J-18808-Ljbffr

Related Jobs

View all jobs

Assistant Professor (Teaching Focussed) in Data Engineering & Applied Analytics (110986-0226)

University Assistant Professor in Machine Learning

Teaching-Focused Assistant Professor: Data Engineering & Analytics

Teaching‑Focused Data Engineering & Applied Analytics

Lecturer in Machine Learning for Engineering

Lecturer in Machine Learning for Engineering

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.