Purchasing Manager

Basildon
2 weeks ago
Applications closed

Related Jobs

View all jobs

Customer Service Manager

Technical Account Manager

Procurement Analyst Manager

Buying Administrator & Data Analyst

Procurement Analyst

Procurement Data Analyst - FTSE100 Award Winning Function

Our client is a leading Contract Electronics Manufacturing (CEM) company servicing all sectors of the Electronics market. Based at their Basildon site, they are recruiting for an experienced Purchasing Manager.

Job role and scope

You are part of the Senior Leadership Team (SLT) and will lead a small team of buyers in a busy purchasing department based in Basildon. You will be responsible for providing timely and accurate costing proposals for new quotes. Your team will also be focused on new product introduction and day-to-day production and non-stock buying; ensuring that suppliers are chased to ensure timely delivery of stock components and products. The role will demand a ‘hands-on’ approach with the ability to work at pace and be tenacious to see things through to a successful outcome. You will work collaboratively with business development, customer service, production, quality and engineering departments to ensure that the supply of stock meets the requirements of this busy factory.

Main responsibilities

  1. Negotiate supplier price, lead time and delivery quotations.

  2. Manage purchasing for strategic customers.

  3. Develop close working relationship with other key functions in the company to support commercial negotiations for new projects.

  4. Analyse complex data for multiple components and reach decisions on the best purchasing options.

  5. Ensure the correct use & data integrity of the MRP system, Factory Master, to support purchasing and quoting activities.

  6. Provide additional support in the day-to-day buying and purchasing activities of the team in times of high workload or absence.

  7. Recruit, induct and train new starters and support development of less senior team members.

  8. Set future department goals and assist in projects for further business improvement.

  9. Present and evaluate data to Head Office for Group and local KPIs.

  10. Represent the department in monthly management meetings.

  11. Ensure all procedures and work practices are up-to-date and fit for purpose, representing the department in QA audits.

    Skills, knowledge & experience

  • Supply chain management and purchasing experience within the electronics industry (ideally Contract Electronics Manufacturing).

  • Previous experience as a senior buyer; minimum of 5 years.

  • Knowledge and experience in the use of an ERP system such as Factory Master.

  • Able to lead and manage others with purchasing responsibilities.

  • Excellent organisational and planning skills.

  • Strong numerical and analytical skills using Excel and databases.

  • Problem solving and strong initiative to think laterally and find solutions.

    Working a 39 hour week (8am-4.30 Monday to Thursday and 8am-3.30pm Fridays) Salary up to £47k, plus 25 days holiday + bank holidays, pension scheme, free on site parking.

    For further information apply today or contact Kim Baker, ENS Commercial Recruitment, Southend

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.