Predictive Maintenance Engineer 🛠
We are looking for a Predictive Maintenance Engineer to analyse and explain to the customers the technical analysis made on our customer’s most critical machines to avoid unplanned downtimes.
If you want to integrate an ambitious and growing company to boost your career, you’re on the right spot !
Who are we ? 🏢
Hey !
We are Insens, an innovative company that develops predictive maintenance monitoring and energy optimization solutions to reduce unplanned production downtime and to support industrial partners in a more sustainable and efficient energy use.
Our solution in a 1min30 video here : https://www.youtube.com/watch?v=ee7dvbITsBA
After several years of discussions with the world’s largest industrial sites, two clear issues were identified.
- Production machines waste a lot of energy due to inadequate machine selection and inefficient points of operations.
- Those machines fail unexpectedly which causes unplanned downtimes, a real nightmare for those production plants.
That’s why we decided to create a cutting-edge technology solution from scratch to address these two issues.
Convinced that the Insens team is the central element of the service we offer, we are looking for someone who is ready to take on future technical and human challenges as well as adhere to the Insens values:
- Always growing
- Collaboration & care
- Customer driven
- Responsible autonomy
- Work-hard, play-hard
Candidate profile 👩💼👨💼 & your upcoming challenges 🎯
As a Predictive Maintenance Engineer, you will be responsible for the data analysis for monitoring AC motor driven production assets. You will analyse data from critical customer machines using the predictive maintenance system developed by our team of predictive maintenance and machine learning specialists. You will translate the data and its indicators into usable and understandable information for the customers in order to guide them towards the best possible decisions to maximize the uptime of their machines. You will also visit customer industrial plants to understand the complexity of their machines and explain your analyses. More specifically, you’re be responsible for :
- Diagnosing the incoming analyses done by our algorithms and assess the truthfulness and accuracy
- Collecting critical asset information on customer plants that might be helpful for your diagnoses
- Helping the customers take the best possible decisions to maximise the uptime of their machines
- You will help potential and upscaling customers to choose the right assets to monitor with our predictive maintenance solution.
- You will provide constant feedback to our team of predictive maintenance specialists to help them develop more accurate and more reliable models
- You will be responsible for managing collaboration with several industrial customers to extend the solution to a larger number of industrial machines.
- You will also be honest with the customer about our solution so that they know what to expect when working with us
Requirements 📚
- Bachelor or master degree in technical field (mechanical, electrical or electromechanical engineering for example)
- Ideally have some experience in maintenance or asset reliability
- Knowledge of the fundamentals of AC power and electrical machines
- Excellent oral and written communication skills in English and Dutch, French is a bonus
- Be able to talk with customers and turn their concerns into solutions
- Good adaptability and result-oriented skills.
- Work permit in Belgium
What we offer 🚀
- Highly skilled team you’ll work with
- An opportunity to tackle one of the major concerns of the 21st century, energy waste, with a cutting-edge technical solution.
- Contribute to a unique solution built entirely in-house.
- Periodic company events
- Competitive and optimized salary
- 13th month and vacation allowance
- Eco-cheques and meal vouchers
- Hospital insurance
Procedure 🧗♂️
Once you have completed the form below, a member of our team will analyze your application and contact you as soon as possible.
If your profile matches our expectations, you will be invited to our offices in Louvain-la-Neuve for a general and technical interview.
If the interview is successful, you will receive your job offer the following week.