Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Engineering Data Resource Manager

Matchtech
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

KTP Associate in Business Intelligence and Sustainability Transformation

Senior Fraud Data Analyst

Senior Fraud Data Analyst

Lead Data Engineer

Lead Data Engineer - Reigate

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

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.