Indirect Buyer

Gatley
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Statistician - HTA

Senior Consultant - Health Economist/Statistician

Senior Manager, Data Science, AI & Analytics Team - RegTech Data and Innovation Team

Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician)

Strategic Campaign Data Analyst

Come and join us as an Indirect Buyer based at either our Head Office in Cheadle, Stockport OR at our Sandtoft site in Doncaster.

Wienerberger is a leading international provider of building materials and infrastructure solutions. We improve the quality of life and shape the future of construction.

About the Role

Join our Procurement team as an Indirect Buyer and help us achieve our strategy for category spend across our businesses in the UK & Ireland region.

You will take ownership of your categories, contributing to the overall procurement strategy in terms of cost savings and risk reduction.

You will use analysis tools (e.g., SAP Business Intelligence and Qlik) to provide insights into trends and the performance of the category compared to business targets.

Your duties will be varied and include:

  • Driving improvements in Supplier Relationship Management and ESG KPIs

  • Ensuring the integrity of procurement data in the company’s SAP business system

  • Negotiating, monitoring, and recording all service level agreements with suppliers

  • Leading and collaborating on tender processes

  • Helping drive and implement new procurement software solutions

    Hours of Work: 35 hours per week. Monday to Friday, 9.00am to 5.00pm

    About You

    You will be an established procurement professional with experience in indirect buying activity.

    With excellent communication skills, you will be comfortable building relationships, adapting your approach, and having challenging conversations when necessary.

    You will also be:

  • MCIPS qualified or in the process of certification

  • Degree educated (or have equivalent experience)

  • Experienced in a supplier-facing role with decision-making responsibilities

  • Skilled in negotiation

  • Knowledgeable in commercial legal contracts and terms and conditions

  • Able to demonstrate significant savings through contract management and negotiation

  • Experienced in executing modern procurement sourcing techniques and solutions

  • Strong in numeracy and analytical skills

  • Confident with business technology (e.g., Microsoft Office suite)

  • Able to communicate strategies and concepts simply and effectively

  • Commercially aware

  • Committed to continuous professional development

    About our Benefits

  • Salary - competitive

  • Professional growth, training and opportunities to hone your skills and knowledge

  • Annual bonus scheme up to 6%

  • Ability to purchase additional holidays

  • Company Pension

  • SIP – ability to become a shareholder via our Share Scheme

  • Life Assurance

  • Flexible benefits offering (including health, wellbeing and money saving opportunities)

    About us

    With our 19,000 employees at 216 locations in 28 countries, we improve the lives of people all over the world. Our products and system solutions enable energy-efficient, healthy, climate-friendly and affordable living.

    The closing date for this role is subject to change and may be closed earlier than advertised

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.

Jobs

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.

Careers

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.