Data Analytics Engineer

Canley
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Senior Director, Data Science and Analytics

Senior DataOps Engineer

Machine Learning Engineer

Data Scientist / Software Engineer

Pricing Optimisation Data Scientist

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.