Purchasing Coordinator

Newcastle upon Tyne
10 months ago
Applications closed

Related Jobs

View all jobs

Purchasing Data Quality Support Assistant

Purchasing Data Quality Support Assistant

Data Analyst

Data Analyst

Repairs Data Analyst

Job Title: Purchasing Coordinator
Location: Newcastle upon Tyne
Salary: Up to £27k per year + Bonus
Job type: Full Time, Permanent
About the role;
As a Purchasing Coordinator you will be working closely with the logistics team to ensure efficient procurement of IT equipment and supplies to our clients, contributing to project and operational success. This role will be based full time at our Head Office in Team Valley.
Who are we?
TSG (Technology Services Group) are a Managed IT Services provider supporting businesses UK wide with their technology solutions. As a Microsoft Partner we are committed to delivering excellence for our customers alongside investing in our colleagues to provide them with the knowledge and tools required to deliver great results.
TSG are one of the few Microsoft Partners in the UK who hold all six Microsoft designations, and one of the only partners who specialise in mid-market. Our commitment to excellence for our customers and employees is backed by our consistent world class NPS score of +80 and our recent accreditation as a 'Great Place to Work' in addition to being placed on the '2024 UK's Best Workplaces in Tech' list. Our guiding principles of Team TSG, Service Excellence and Shared growth are at the heart of everything we do.
Why should I work for TSG?

  • Employee ownership - as a growing business we want to ensure that everybody who contributes towards our success, shares in our success. High performing members of Team TSG are entered into an employee benefits trust (EBT). The EBT is the single largest beneficiary within TSG meaning employees will share the benefits of the proceeds, driving a high performing culture with long term value and mutually beneficial outcomes
  • Our open and honest culture where feedback is taken on-board and acted upon
  • Our social events - annual all expenses paid 'TSG Festival' and team building funds
  • Two paid CSR days per annum that you can use to support the community
  • Giving something back - the 'TSG Foundation' established in November 2022 has so far donated over £160,000 to support nominated businesses and charities
  • Our responsibility to the environment as we work towards net carbon zero
  • Flexible working opportunities including home working and hybrid options
  • Annual salary benchmarking
  • Excellent progression opportunities, training and support, including recognised qualifications
    Job responsibilities will include, but are not limited to;
  • Review incoming sales orders, focusing on product specifications, quantities, pricing, and delivery instructions
  • Address order-related queries or discrepancies promptly
  • Enter sales orders into the system, maintaining data integrity and adhering to validation rules and standards
  • Generate purchase orders based on sales order specifications and internal procurement policies
  • Place orders with suppliers via email or relevant portals
  • Seek opportunities for cost reduction and efficiency improvements by evaluating potential suppliers based on product quality, pricing, delivery reliability, financial stability, and reputation
  • Resolve purchase order-related issues or discrepancies
  • Serve as the primary contact for internal teams and external stakeholders regarding order inquiries and discrepancies
  • Maintain clear and consistent communication providing regular updates
  • Provide training and guidance to teams where required
    Knowledge, Skills & Experience;
  • Proven experience in a Purchasing Coordinator or similar procurement role, preferably within IT
  • Proficiency in procurement software and Microsoft Office Suite, particularly Excel
  • Familiarity with IT equipment and supplies would be desirable
  • Knowledge of best practices in procurement and supply chain management
  • Strong analytical, negotiation, and communication skills
  • Exceptional attention to detail and organisational skills
  • Ability to work effectively in a team
  • Excellent problem-solving skills and a proactive approach
  • Adaptability to changing priorities and meeting deadlines
    Benefits;
  • 25 days annual leave + public holidays, rising with length of service
  • Employee benefits trust
  • Company bonus scheme
  • Life assurance 4 x Salary
  • Contributory pension scheme at 4% matched
  • Healthcare and cash plan
  • Electric vehicle salary sacrifice scheme
  • Cycle to work scheme
  • Perkbox discounts
  • Employee assistance programme
  • Paid CSR Days
  • Company sick pay and income protection cover
  • Enhanced Maternity and Paternity pay
  • Employee recognition scheme
  • Eyecare vouchers
  • Discounted gym membership
  • Long service rewards
    If this sounds like the role for you, please apply today to be considered.
    Candidates with the experience or relevant job titles of: Purchasing Representative, Purchase Specialist, Purchasing Analyst, and Purchasing Assistant, Logistics Administrator, Logistics Coordinator, Purchasing Administrator, Procurement Administrator, Supply Chain Coordinator, will also be considered for this role

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.