Powertrain Charging Test Data Engineer

CV-Library
Coventry, West Midlands (County)
13 months ago
Applications closed
Posted
15 Apr 2025 (13 months ago)

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

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.