Data Analytics Engineer

Canley
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analytics and Machine Learning Engineer

Applied Data Scientist - UK

Senior Data Analytics & Machine Learning Engineer

Data Scientist – CLV & Next Best Action

Data Scientist – CLV & Next Best Action United Kingdom, London

Data Scientist - Growth & Strategic Finance

Data Analytics Engineer - Coventry (Hybrid) - Up to £45,000 per annum plus excellent benefits.

A leading innovator in the field of powertrain and vehicle technology is looking for a Data Analytics Engineer to join a dynamic, forward-thinking team. This role is ideal for someone passionate about future mobility platforms and eager to apply data-driven insight to cutting-edge automotive developments including hybridized internal combustion engines, fuel cell, and battery electric vehicles. 

 What You Will Do:

Support powertrain development projects across internal and customer opportunities covering a range of powertrain concepts.
Perform data processing and analysis, with reporting to customer teams and management.
Design and implement automated applications and metrics to enable more informed and data-driven engineering evaluations, using various tools and methods.
Apply statistical modeling, learning, and machine learning techniques to optimize processes and support engineering decisions.
Provide clear and concise reporting including graphical representations to aid understanding and interpretation.
Support scaling of models and algorithms via implementation in larger software frameworks.
What You Will Bring:

Minimum of 2:1 Bachelor's or Master's degree in a relevant engineering area (Physics, Mathematics, Mechanical, Automotive, etc).
Proficiency in engineering data science toolsets; e.g. SQL, Python, R, MATLAB, Tableau, AWS, etc.
Experience of electrification, e.g. hybrids, battery and fuel cell technology, and an appreciation of future industry trends.
Excellent analytical skills with the ability to summarize and make clear technical recommendations with supporting data.
Self-starter with the ability to work with high-level instruction and minimal detail breakdown.
Ability to communicate technical information effectively, both written and verbal.
This Data Analytics Engineer role is integral to the company's mission of developing innovative powertrain systems for the global automotive and mobility industry. This role offers the chance to be at the forefront of future mobility platforms, working on the intersection of data intelligence with new automotive passenger car technologies.

Location:

The role is based in Coventry, offering a hybrid working environment.

Interested?:

If you're ready to take the next step in your career with a role that combines your passion for engineering and data analytics with the opportunity to make a tangible impact on the future of mobility, we want to hear from you. Apply now to become the Data Analytics Engineer that helps drive innovation in powertrain development.

Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.

In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.