Purchasing and Logistics Coordinator

Sheffield
3 weeks ago
Create job alert

Purchasing and Logistics Coordinator

Sheffield - Office Based

£27,000 - £29,000

Mon - Thu - 9am to 5pm

Fri - 9am to 4:30pm

Subsidised company gym scheme
Subsidised corporate private health care scheme
Death in service benefits
Additional 20 minutes paid breaks each day
A self-funded EV scheme sponsored by the company
Cycle to work scheme
Incentive and bonus scheme awards
Long service awards
High street and cinema discount platform
Fortnightly breakfast sandwiches paid for by the company as well as fortnightly deliveries of fresh fruit

Overview

The Purchasing and Logistics Coordinator will be responsible for supporting both Procurement and Logistics function at Sheffield Global Headquarters. This key role is to ensure smooth coordination across the supply chain, facilitating efficient operations and communications between departments. The ideal candidate will be highly motivated, self-driven, and capable of working effectively both independently and within a team.

The successful candidate will play an integral part of the supply chain team, providing support and cover across multiple product categories and logistics.

Key Responsibilities Include;

Collaborate with the Logistics manager to ensure the efficient transportation of goods
Process orders, verify accuracy and ensure timely processing.
Monitor stock levels, track inventory and manage replenishment.
Ensure adherence to company policies, industry regulations and legal requirements.
Manage and update MRP/SAP systems with accurate inventory and procurement information.
Maintain effective communications with suppliers and internal teams to ensure smooth operations.
Ensure data integrity within the supply chain systems, including data entry, validation and reporting.
Provide cover for multiple products categories within the Procurement and Supply Chain team.
Play an active role within the Procurement and Supply Chain Team to help achieve and improve departmental KPI's

Desired Skills & Preferred Qualifications;

Strong knowledge of MRP/ERP systems, with experience in SAP being highly desirable.
Excellent organisational skills and attention to detail
Strong communication skills, with the ability to work effectively with cross-functional teams
Ability to analyse and interpret data
Previous experience in a supply chain and/or logistics-related role is advantageous.
Ability to manage multiple and prioritise
Possess a methodical logical approach with the ability to work under pressure, meeting tight deadlines and pay great attention to detail
highly numerically focused, with strong administration and organisational skills

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

Related Jobs

View all jobs

Purchasing Coordinator

Materials Planner

Customer Service Manager

Purchasing Manager

Purchasing Manager

Data Entry Clerk

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.

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.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.