Maintenance Planner

West Thurrock
1 month ago
Applications closed

Related Jobs

View all jobs

Project Planner

Project Controller

London Facilities Manager (5 days onsite)

Data Scientist / Chemometrician

Data Analytics Developer

Data Analytics Developer

Maintenance Planner & Scheduler

📍West Thurrock, RM19
đź’°ÂŁ45,000 per annum (DOE)
🕒Monday to Friday, 8am–4pm (35 hours/week)

Overview:
We’re working with a leading manufacturing business in West Thurrock to recruit a Maintenance Planner and Scheduler. This pivotal role within the engineering department acts as the central point of contact between teams, driving planning and performance across a well-established and well-equipped site.

This position would suit someone with a strong background in maintenance planning within a manufacturing or industrial environment.

Salary & Benefits:

Salary: ÂŁ45,000 (DOE)

Bonus: Up to 12%, based on personal and company performance

Private healthcare

28 days annual leave plus bank holidays

Company sick pay (after 6 months' service)

Life Assurance

Defined Contribution Pension Plan

Income Protection (for DC members)

Long Service Awards

Health & Wellbeing Programme

Flu and Eye Care Vouchers

Reward Hub access

Cycle to Work Scheme

Working Hours:

Monday to Friday, 8am–4pm (1-hour break)

On-call rota: 1 in 5 rotation (tech support, remote or call only – very rarely site attendance). This would only be required once fully up to speed.

Key Responsibilities:

Convert maintenance requests into work orders and build detailed planning schedules

Daily engagement with the plant to assess maintenance needs and develop plans accordingly

Coordinate and plan routine and reactive maintenance activities

Lead weekly and monthly planning meetings and produce completion reports

Collaborate with the stock and parts controller to order and identify required items

Support contractor management – onboarding, inductions, documentation, and monitoring their work

Act as the CMMS (SAP Hana) subject matter expert, maintaining data integrity and optimising maintenance plans

Assist with office and facility-related maintenance requirements as needed

No direct reports but significant cross-departmental interaction

The Ideal Candidate:
âś… Minimum 5 years' experience in a similar planning/scheduling role within a manufacturing or industrial setting
âś… Engineering qualification or completed an apprenticeship in a relevant discipline
âś… Strong experience using CMMS systems (SAP Hana ideally)
âś… Familiarity with maintenance methodologies such as preventive/proactive/RCM
âś… Competent in project planning tools (e.g., MS Project) and analysing data using spreadsheets and databases
âś… Understanding of mechanical, electrical, pneumatic, and hydraulic systems
✅ Knowledge of health and safety legislation – LOLER, PUWER, COSHH, etc.
âś… Experience managing contractors, spare parts, and budgets
âś… Strong communication skills with the ability to lead meetings and act as a central coordinator

Desirable Extras:

Forklift or Cherry Picker licence

Lean Manufacturing training/qualification

AutoCAD (2D drawing/schematics)

NEBOSH or IOSH certification

Experience using GANTT charts

Team & Culture:
You’ll be part of a 10-person engineering team, on a site employing around 45 people. This role is truly the bridge between departments, supporting the Maintenance Manager and working closely with colleagues across the plant.

You’ll share an office with one other person and be based on site five days a week, with potential flexibility for occasional remote work once settled.

Ready to take the lead in maintenance planning for a site that values structure, efficiency, and collaboration? Apply today to find out more

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.