At a Glance
- Tasks: Monitor and analyse equipment data to ensure reliability and develop predictive maintenance systems.
- Company: Join a global team at a leading energy company focused on innovation and collaboration.
- Benefits: Competitive salary, travel opportunities, and a supportive work culture.
- Other info: Dynamic environment with opportunities for professional growth and learning.
- Why this job: Make a real impact in the energy sector with cutting-edge technology and teamwork.
- Qualifications: Master’s degree in engineering and 5 years of relevant experience required.
The predicted salary is between 55000 - 65000 £ per year.
We are currently recruiting a Predictive Maintenance Engineer to join our team and contribute to key projects in a dynamic and collaborative environment. This role is part of a global team working toward common goals. We operate as one company, across all locations, with shared responsibility and clear accountability.
Key Responsibilities
- Provide technical assistance related to condition based and predictive maintenance activities performing a continuous monitoring and analysis of critical equipment’s operating and tests data (vibration, noise, oil pressure and temperature, process parameters, tribology) for all assets ensuring that they are reliable.
- Help to develop a centralized data-driven predictive maintenance system based on historic operating data, failure history and tests results, for prognostics estimation of main equipment’s remaining useful life and of risk for existing and future failure modes.
- Contribute to audit, maintain, expand and improve preventive and predictive maintenance programs supervising repairs, overhauls, outages and inspections and participating in trainings; promoting the documentation of lessons learned and staying abreast of eventual new tools and technologies in the state of the art.
- Develop new alarms or tools to effectively advance relevant failures and propose solutions to assure critical equipment’s lifetime maximization in the assets.
- Develop and implement centralized Machine Learning models, Data-Driven models, Physical Models and Analytics to diagnose and predict failures in main electrical equipment.
Education and Certifications
- Master’s degree in mechanical, chemical, electrical or energy Engineering or equivalent degree.
- At least Category III vibration analyst certification.
- Excellent English written and verbal communication skills - most of our work is in an international environment!
Experience and Technical Skills
- Minimum of 5 years of experience in O&M activities in wind assets or in thermal power/process plants providing technical assistance related to conditions based on predictive maintenance.
- SAP PM.
- Statistical algorithms, data processing and programming (C, Python, etc).
- Advanced Analytics & Machine Learning & Artificial Intelligence tools.
- Microsoft Office Level (especially Power BI).
- Engineering, Commissioning, Operation & Maintenance and Monitoring for Wind, Thermal, and Process Assets.
- With autonomy, initiative, self-efficiency, organizational, communication, team working, strong analytical and problem-solving and troubleshooting skills and excellent client hands and communication abilities.
- With availability to travel abroad to visit our assets worldwide.
Company Culture
We believe in a culture of trust, shared goals, and accountability. No matter where you are based, you are part of one team working toward the same mission.
Predictive Maintenance Engineer in London employer: Atlantica Sustainable Infrastructure
At our Chiswick Business Park location in London, we pride ourselves on fostering a collaborative and dynamic work environment where Predictive Maintenance Engineers can thrive. Our commitment to employee growth is evident through continuous training opportunities and the chance to work on innovative projects that leverage cutting-edge technology. Join us to be part of a global team that values trust, accountability, and shared success, ensuring that your contributions are recognised and impactful.
Contact Details:
Atlantica Sustainable Infrastructure Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Predictive Maintenance Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the predictive maintenance field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a project showcasing your experience with predictive maintenance systems and data analysis. This will give potential employers a taste of what you can bring to the table, and we love seeing practical examples of your work!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to predictive maintenance and be ready to discuss your past experiences. Remember, we want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our shared goals.
We think you need these skills to ace Predictive Maintenance Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Predictive Maintenance Engineer role. Highlight your technical expertise in predictive maintenance, data analysis, and any relevant certifications to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about predictive maintenance and how your background aligns with our company culture of trust and collaboration. Keep it engaging and personal!
Showcase Your Technical Skills:We love seeing candidates who can demonstrate their technical prowess. Mention specific tools and technologies you've worked with, like SAP PM or Machine Learning models, to show us you’re ready to hit the ground running.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Atlantica Sustainable Infrastructure
✨Know Your Tech Inside Out
Make sure you brush up on your technical knowledge related to predictive maintenance. Be ready to discuss specific tools and technologies you've used, like SAP PM or any machine learning models you've implemented. This shows you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially in O&M activities. Think about situations where you had to analyse data to predict failures or improve maintenance programs. This will demonstrate your analytical skills and ability to think on your feet.
✨Communicate Clearly and Confidently
Since you'll be working in an international environment, practice articulating your thoughts clearly in English. Use straightforward language when explaining complex concepts, and don’t hesitate to ask for clarification if you don’t understand something during the interview.
✨Emphasise Team Collaboration
Highlight your experience working in teams and how you contribute to shared goals. Discuss any collaborative projects you've been part of, especially those that required cross-functional teamwork. This aligns with the company culture of trust and accountability.
