Hybrid Asset Reliability Engineer – Predictive Maintenance

Posted yesterday

Apply now

About the role

  • Asset Reliability Engineer providing maintenance advice and service innovations. Join Sensorfact, the leading smart monitoring platform, to modernize the industrial sector.

Responsibilities

  • Give advice to operational teams for challenging situations; installation advice for uncommon assets, assistance for root-cause analysis or tailored prescriptive instructions for customers.
  • Continuously identifying and rolling-out service-innovations by assessing the complete customer journey.
  • Often consulted by our Data and AI teams, to provide guidance on how we can improve our models and assist in the interpretation of our data.

Requirements

  • 4+ years’ work experience in an industrial setting;
  • A university degree in Mechanical Engineering;
  • Knowledge on vibration analysis (or a quick learner) and understand rotating equipment;
  • An understanding of maintenance teams (ex. experience in maintenance consulting or as a maintenance engineer etc);
  • It would be an advantage if, in addition to the above, you have experience with: Maintenance programmes, Python,
  • A holder of a completed MOBIUS CATII and higher (III or IV) course (not a hard requirement, you can get those with us as well )

Benefits

  • N/A

Job title

Asset Reliability Engineer – Predictive Maintenance

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job