Senior Procurement Manager - Energetics

Solihull
9 months ago
Applications closed

Related Jobs

View all jobs

RQ1688775 - Data Quality and Systems Manager

Data Quality & Systems Manager

Data Compliance Lead

Senior Data Scientist

Senior Data Engineer - (Python & SQL)

Senior Data Governance Analyst

Senior Procurement Manager (Energetics)

Are you a dedicated Procurement Manager looking to make a meaningful impact in a dynamic and forward-thinking organisation?At Tarmac, we're on the lookout for a Senior Procurement Manager to take a leading role where you will provide professional procurement expertise to deliver business objectives with responsibility for UK Energetics.

About the Role

As a Senior Procurement Manager, you will play a key part in providing expert advice across Electricity, Bitumen, Solid Fuels, Alternative Fuels, Liquid Fuels & Gas across UK. You will be responsible for developing energy strategies to drive value for the business and to deliver cost benefits, collaborating with key stakeholders within the Fuel & Energy Category Team, Cluster Management Team, Opco Management Team, Opco Operational Teams and local Procurement Managers.

You will also be supporting on Tarmac’s position with external organisations on UK energy policy development and supporting the alignment of category strategy between category teams and country & local opcos.

What you'll be doing

In this role, you as the successful Senior Procurement Managerwill be carrying out the following duties and responsibilities (not exhaustive)

Developing and implementing value-adding hedging strategy across key energetic commodities
Assessing national sourcing needs and driving performance in decentralized businesses
Developing risk management strategies to ensure the continuity of energetics supply
Supporting a decarbonisation roadmap including renewable energies, CPPAs & sustainability agendas.
Working closely with the National and Regional Procurement Directors and Local Category Manager’s to determine sourcing needs, capturing synergy opportunities & leveraging the economies of scale
Forecasting, budgeting and delivering on Financial KPI’s
Developing and managing key supplier relationships and maintaining effective communication across all stakeholder groups
Driving annual cost savings projects and other procurement benefits
Developing a best-in-class expertise and global market knowledge for assigned categories
Building strong and effective relationships both with internal customers and external supply partnersWhat we are looking for

We are looking for someone who is:

Someone who can deliver tasks in a timely fashion
A resilient Negotiator who can deliver under pressure
Can show demonstrable problem-solving and analytical skillsExperience & Qualifications

Ideally, you will be:

Educated to a bachelor’s degree level preferably in an engineering or construction related subject; along with CIPS
Professional experience ideally with experience in the energy markets in an analytical or quantitative procurement role
Having a background in engineering or construction would be preferable
Working knowledge of SAP, Ariba, Data Warehouse and processes (eg catalogues, eProcurement) while not essential will be an advantageWhy Tarmac?

You’ll be joining a collaborative, innovative team within Procurement.We offer opportunities to grow, take ownership, and work on impactful projects across our organisation and the broader CRH Group.

Ready to build your future with us?

Apply now and take your next step in a rewarding career in Procurement.

In addition to the role of Senior Procurement Manager, we also offer an extensive range of career development opportunities and industry-leading rewards, incentives and benefits including:

Bonus scheme
Enhanced holiday entitlement
Contributory pension scheme
Access to the Tarmac Reward website with discounts on retailers, holidays, etc.
Access to our Employee Assistance helpline for free and confidential advice
Access to join our Employee Communities (employee networks) we currently have nine communitiesinc.(REACH) Religious, Ethnic, Cultural Heritage, LGBTQ+, Parents & carers, Ability, Wellbeing, Female voice and menopause
Training and development opportunities Interested? Why not click here to find out more? Go on… are you ready to build your future?

Tarmac, a CRH company, is an equal opportunity employer.We arecommittedto creating aninclusivework environment for all employees andactivelyencourage applications from all sectors of the community.

Please click on the apply button to complete your application.Occasionally we receive a large volume of applications for our roles and when this happens we sometimes bring the published closing date forward, so please apply promptly to avoid disappointment.

#Tarmac #TarmacCareers #procurement #construction #engineering

Tarmac Trading Limited

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 Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.