BMS Predictive Maintenance Engineer
BMS Predictive Maintenance Engineer

BMS Predictive Maintenance Engineer

Full-Time 45000 - 55000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Monitor BMS performance and predict issues to enhance building efficiency.
  • Company: Leading innovator in the smart buildings sector.
  • Benefits: Competitive salary, bonus scheme, private healthcare, and personal development.
  • Why this job: Join a collaborative team and make a real impact in smart building maintenance.
  • Qualifications: 3+ years in BMS engineering and strong customer service skills.
  • Other info: Opportunity for career growth in a future-proof role.

The predicted salary is between 45000 - 55000 £ per year.

We are recruiting on behalf of a leading force in the smart buildings sector. As a BMS Predictive Maintenance Engineer, you’ll work at the intersection of engineering and analytics, using system data to anticipate issues before they happen, cutting downtime, and helping clients run smarter, greener, more efficient buildings.

Role Overview

Your central aim is to provide proactive technical expertise across a diverse customer portfolio. This role goes beyond traditional service, offering clients foresight and innovation alongside regular system upgrades and improvements.

Key Responsibilities

  • Monitor and analyse BMS performance and energy usage data to predict and prevent system faults
  • Provide exceptional service and technical support across customer sites
  • Identify upgrade opportunities, system enhancements, and energy-saving potential
  • Work closely with energy and analytics teams to deliver integrated solutions
  • Maintain and strengthen trusted customer relationships

The Ideal Candidate

  • 3+ years’ experience in BMS engineering (service, maintenance, or commissioning)
  • Comfortable working independently in a field-based service environment
  • Strong customer service ethos with a proactive and professional attitude
  • Comfortable with data-led problem solving and predictive maintenance (additional training provided)
  • Excellent written and verbal communication skills
  • Full UK driving licence

What’s on Offer

  • £45,000 – £55,000 salary, plus annual bonus scheme
  • Company vehicle or vehicle allowance
  • Private healthcare (covers the whole family)
  • Personal development plan with fully funded training
  • A chance to step up from reactive servicing to a specialist, future-proof role
  • Join a collaborative, innovative team leading the shift in smart building maintenance

If you’re keen on getting into a unique role in the predictive maintenance domain with excellent rewards, this is your opportunity. Apply now or contact the VIGO team to find out more.

BMS Predictive Maintenance Engineer employer: VIGO Recruitment Ltd

Join a pioneering company in the smart buildings sector, where as a BMS Predictive Maintenance Engineer in London, you'll enjoy a vibrant work culture that prioritises innovation and collaboration. With competitive salaries, a bonus scheme, and comprehensive benefits including private healthcare for your family, we are committed to your professional growth through fully funded training and development opportunities. Experience a fulfilling career that not only enhances your skills but also contributes to creating smarter, greener buildings.
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Contact Detail:

VIGO Recruitment Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land BMS Predictive Maintenance Engineer

✨Tip Number 1

Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We can’t stress enough how important it is to make connections in the BMS field; you never know who might have the inside scoop on job openings.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your past projects and successes in predictive maintenance. This will help us stand out during interviews and demonstrate our hands-on experience in the field.

✨Tip Number 3

Prepare for those tricky interview questions! Brush up on common BMS-related queries and think about how your experience aligns with the role. We should also be ready to discuss how we can contribute to making buildings smarter and greener.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.

We think you need these skills to ace BMS Predictive Maintenance Engineer

BMS Engineering
Data Analysis
Predictive Maintenance
Technical Support
Customer Service
Problem-Solving Skills
Communication Skills
Energy Management
System Monitoring
Analytical Skills
Independent Working
Proactive Attitude
Field-Based Service Experience
Relationship Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in BMS engineering and predictive maintenance. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about smart buildings and how your proactive approach can benefit our clients. Keep it engaging and personal – we love a bit of personality!

Showcase Your Problem-Solving Skills: Since this role involves data-led problem solving, include examples of how you've tackled challenges in the past. We’re looking for innovative thinkers who can anticipate issues before they arise, so let us know how you’ve done this!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at VIGO Recruitment Ltd

✨Know Your BMS Inside Out

Make sure you brush up on your knowledge of Building Management Systems (BMS). Understand how they work, the common issues that arise, and the latest trends in predictive maintenance. This will not only help you answer technical questions but also show your passion for the field.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've used data to solve problems or predict failures in BMS. Think about times when your proactive approach saved time or resources. This will demonstrate your analytical skills and ability to think ahead.

✨Emphasise Customer Relationships

Since this role involves maintaining strong customer relationships, be ready to share experiences where you've provided exceptional service. Highlight your communication skills and how you've built trust with clients, as this is crucial for success in the role.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's approach to predictive maintenance and their vision for smart buildings. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.

BMS Predictive Maintenance Engineer
VIGO Recruitment Ltd
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