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

Nominate & Attend

Engineering Data Resource Manager

Matchtech
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Analytics Project Manager (SAP)

Data Analytics Project Manager (SAP)

Job summary

The Engineering Data Resource Manager will esure that the engineering demand data is managed across the entirety of the UK business.

Key skills required for this role

powerbi, data, resource manager

Important

data engineering , powerbi

Job description

Engineering Data Resource Manager

Key Responsibilities

Working as part of the central engineering team, your responsibilities will include:

Ensuring that the engineering demand data is managed across the entirety of the business. The accumulation of the engineering supply forecast to meet our projected forward load. Work with Programmes and Engineering to facilitate the correct identification and prioritisation of the resources required to deliver a balanced and optimised resource solution to deliver the programme and business needs. Identify areas for process improvement to eliminate inefficiencies in the resource management processes. Develop management information using tools such as Microsoft Excel, Microsoft PowerPoint, Microsoft Project, and Power BI for improved visibility of the demand and supply picture and then routinely produce and share those reports. Facilitate the alignment of future engineering resourcing with the business development and financial management teams. Champion engineering productivity through influencing planners with accurate resourcing information and recommending improvements to increase visibility of the allocation of engineering resources and measurement of resource utilisation.


Skills, Qualification and Experience

A dynamic, professional engineer, you will have:

A higher diploma or bachelor's degree in a Science, Technology, Engineering, or related disciplines. Experience in and a deep understanding of managing resources in an engineering organisation. Exceptional verbal and written communication skills with experience in reporting to senior stakeholders. Exposure to project scheduling and project management on an engineering project. Advanced Microsoft Excel experience and skills. Microsoft PowerPoint experience and skills. Examples of times when you have worked under tight time constraints, in challenging contexts. It would be desirable to have Power BI experience, including data manipulation and dashboard production.


Personal Attributes

A detail-oriented problem solver, with a passion for supporting the customer, you will:

Display good interpersonal skills with a talent for building rapport with a broad range of internal and external customers from diverse backgrounds. Possess good self, task, and organisational management skills. Take personal responsibility for the quality and timeliness of your work, management, and technical decisions. Demonstrate good people and stakeholder management skills, report writing and attention to detail. Cooperate well with others to achieve outstanding outcomes. Be capable of achieving Security Clearance (SC) or higher with no caveats. Possess or look to hold a full driving licence. This role is office based with occasional travel across Ultra sites.

essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities to perform this job proficiently. The requirements in this document are the minimum or representative levels of knowledge, skills, or abilities expected.

Share

manages this role

Matchtech is a STEM Recruitment Specialist, with over 35 years’ experience

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

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.