Maintenance Planning Manager

Hartburn, Stockton-on-Tees
1 month ago
Applications closed

Related Jobs

View all jobs

Maintenance Planner

Arboricultural Project Manager (Highways)

Technology Business Manager

Information Manager

Senior Planning Engineer

Lead Data Analyst

At Warburtons, family is at the heart of our business. 

Are you a Maintenance Manager or Engineering Planner looking for your next career move?
 
Working as part of a highly skilled and established engineering team, you’ll maximise plant reliability and performance to ensure our high standards of quality are achieved and to meet customers’ expectations. Managing the preventative maintenance system you’ll ensure overall equipment efficiency reducing downtime and damage.

The Recipe As our Maintenance Planning Manager, you’ll ensure the delivery of effective maintenance support to the site. You’ll work collaboratively with Reliability Managers and Engineering site leads to plan and schedule all maintenance activity including backlog, spares and materials. In addition, you’ll support plant criticality reviews, review maintenance plans, establishing critical spares, and be the key user for the site SAP PM maintenance system and reporting.

You’ll ensure stock is available for planned maintenance and ensure contractors work safely in line with risk assessments.

The Role
Planning and scheduling of a risk-based maintenance strategy
Planning shutdowns and follow on works
Ensure data integrity within the CMMS system (SAP). 
Materials for work orders are anticipated and available for scheduled works
CI – evaluate the effectiveness of Planned performance maintenance tasks based on KPIs
Ensure service contracts/external supplier relationships are maintained and supplier effectiveness is reviewed. 
Contractor Control - RAMS
  Essential Ingredients  

Experienced Engineering Planner
Experience of Contractor and stores management
IT knowledge – able to use widespread functions within relevant software inc. Microsoft Office and SAP
Analysing and problem-solving skills – anticipates problems before they occur, takes steps to deal with them/correctly & swiftly identifies the underlying problem & appropriate solutions, based on analysis of data.
H&S knowledge e.g. IOSH – able to ensure a safe working environment.
Communication skills – articulate/develops effective, long-term relationships with key people
Desirable –structured Engineering training -  L3 Apprenticeship Extra Dough Last but by no means least, you'll want to know what your breads worth.

A slice of the annual profits (discretionary profit share)
Family time is important to us so as well as your holiday entitlement, we'll give you the opportunity to purchase up to an extra weeks annual leave
Award winning pension scheme with company contributions
Life assurance
Products you will love along with deals and discounts for you and the family through our Extra Dough website
Continued investment in your personal development
Fully stocked kitchens filled with our delicious products for you to enjoy with your daily brew!
Support for your health and wellbeing, including access to free physiotherapy, 24/7 access to a confidential helpline for practical advice and a comprehensive occupational health service  

We respect and value difference. We look to create an inclusive workplace that promotes and values diversity. Companies that are diverse in age, gender identity, race, religion, sexual orientation, physical or mental ability, ethnicity, or any other aspect which makes them unique, are proven to be better companies. More importantly, creating an environment where everyone, from any background, can do their best work, is the right thing to do

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.

Jobs

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.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.