Production Planner & Scheduler

Northampton
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer DV Cleared

Data Engineer

Data Engineer

Data Engineer

Data Engineer (Azure Data Platform)

DBA - SQL Server

Our prestigious client is a dynamic and innovative manufacturing company dedicated to producing high-quality products. Launched in 1979, the company initially focused solely on the UK consumer market but quickly became an industry branded name and now exports to over 29 countries around the world. With a commitment to excellence and a focus on continuous improvement, they are seeking a seasoned professional to join their team as Production Planner & Scheduler.

Overview:
We are seeking a highly organised and agile Production Planner and Scheduler, to operate at the heart of our manufacturing processes and drive excellence in capacity planning, production scheduling, operational efficiency and customer fulfilment.

This role is responsible for both medium-term production planning and short-term production scheduling across 20 filling lines, ensuring efficient batch processing aligned with demand requirements and minimum stock levels. Working closely with the Demand Planner and cross-functional teams, the Production Planner must translate forecasted demand into a realistic production plan, then develop detailed daily/weekly schedules that reflect current capacity, constraints, and materials availability.

Key Responsibilities:

Develop and maintain a rolling production plan (typically 2-12 weeks ahead), aligning capacity and resources to forecasted demand and stock targets.
Translate the production plan into detailed daily and weekly schedules, balancing available capacity, batch sizes, changeovers, and staffing constraints.
Schedule batch production to maintain agreed minimum stock levels and ensure continuity of supply without overproduction.
Create and progress SAP-based works orders for all production activity.
Factor in operational constraints such as lead times, changeover durations, and machine utilisation when generating schedules.
Respond swiftly to unplanned events-such as downtime, material delays, or urgent orders-by adjusting the schedule while protecting key deliverables.
Support the implementation and ongoing refinement of Rough-Cut Capacity Planning (RCCP) to anticipate and manage bottlenecks and capacity gaps.
Monitor actual production against plan and schedule, investigating variances and driving corrective actions where necessary.
Prepare and present clear, actionable KPI reports, including schedule adherence, line efficiency, inventory coverage, and responsiveness.
Lead the weekly planning forum and monthly capacity review meetings.
Identify new ideas and drive improvement in planning and scheduling processes.Skills & Experience Required:

Significant experience in production planning and scheduling within a process manufacturing environment (e.g. food, chemical, cosmetics).
Strong MRP/ERP system experience and working knowledge of SAP or similar, especially in production planning and materials management modules.
Experience in designing, implementing and/or improving planning and scheduling processes will be an advantage in this role.
Understanding of the differences and interplay between medium-term planning and short-term scheduling.
Proven ability to work flexibly and make real-time decisions in response to changing conditions on the shop floor.
Excellent stakeholder management and communication skills to collaborate across departments.
Proficient in Microsoft Excel and capable of producing clear, actionable planning documentation.So, if you tick the above boxes, we encourage you to apply today, and a member of the team will review your details and book in a call at a time convenient to you

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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.