National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Powertrain Charging Test Data Engineer

Coventry
2 months ago
Applications closed

Our OEM Client based in Whitley, Coventry is searching for a Powertrain Charging Test Data Engineer to join their team, Inside IR35. This is a 12-month contract position initially until 31st March 2026, with the potential for further extensions.

Umbrella Pay Rate: £27.03 per hour.

This role sits within the Powertrain Charging Systems Team, in the Charging Validation & Verification organisational unit. The role will focus on delivering data from tests in support of design release activity or technology advancement of electric vehicle charging infrastructure compatibility. The main activity for this role as part of a team would be to prepare test facility or test parts with instrumentation which enables measurement of a wide range of charging system signals and variables, both on-board and external to the vehicle.

In addition, this role will support the collection of data in a wide range of environments such as in a test facility, on public roads and proving grounds. The key outcome of this role is to help create a modern luxury seamless and stress-free charging experience for our customers.

Skills Required:

Awareness of existing charging Standards (e.g. CCS / COMBO, DIN 70121 and ISO15118).
Experience with IATF16949 or ISO9001 standards and requirements.
A full UK driving license with less than 6 penalty points, no disqualification, 2 years accident-free record.
Experience Required:

Good communication and negotiation skills.
Strong organisational and planning skills.
Eagerness to learn about Electric Vehicle Charging Studying data and reporting of test data.
Natural problem-solver with structured approach to problem solving in a technical environment.
The ability to validate, prepare and read documentation.
Knowledge of Health and Safety processes.
Computer literate, including Microsoft Office competency to produce plans, presentations, graphs, process and Single Point Lesson (SPL) documents.
Experience Preferred:

Demonstrable software integration knowledge.
Vehicle Charging Systems and Applications experience.
Demonstrable electronic hardware design and test knowledge.
Six Sigma, Black Belt and Green Belt Training and certification.
Experience and certification for conducting testing on proving grounds.
Knowledge of instrument calibration processes.
Proficient in the use and application of a programming / scripting language (C/C++, python, Java, or similar).
Educated to Degree level in a Systems, Mechanical, Electrical/Electronic or related field or equivalent

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.