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Predictive maintenance experts analyse sensor data from machines, vehicles, rail systems or factories to detect condition changes before maintenance is needed.
The work combines data gathering, statistics, electronics, sensor design, data-processing applications and advice on equipment maintenance based on condition monitoring.
In job descriptions, look for sensor data, big data analysis, statistical techniques, predictive maintenance models, equipment condition monitoring, information security, visual data presentation and maintenance recommendations.
Predictive maintenance work turns sensor readings into warnings, maintenance advice and condition reports. The setting may be a factory, vehicle fleet, rail system or machine environment where downtime is costly.
Useful depth includes statistics, electronics, electrical engineering, networking hardware, data processing, information security and sensor design. Specialization can focus on industrial assets, automotive diagnostics or visual presentation of data.
Salary context usually reflects the mix of engineering judgement, data analysis, asset criticality, software work and how directly the expert advises maintenance decisions.
Paths can move from condition-monitoring analysis to reliability engineering, maintenance strategy, industrial analytics, sensor systems, technical consulting or leadership of predictive maintenance programs.
Check what data the role owns: sensor design, collection, modelling, dashboards or maintenance recommendations. A precise advert names the asset type, tools, data volume and decision handoff.
This guide is editorial career context, not official labour-market statistics or role-specific pay data.
This occupation may occur in several kinds of economic activity. Here are some examples and other occupations that may be found in the same areas.
This is one example. Other occupations in this activity include instrumentation engineer, sensor engineer and microelectronics materials engineer.
Explore this activityThis occupation may also occur in this activity. Other occupations there include instrumentation engineer, sensor engineer and microelectronics materials engineer.
Explore this activityThese examples offer an overview but do not show every economic activity where the occupation may occur.
The selection is based on how occupations are connected to economic activities in ESCO and NACE. Only a few examples are shown to make the information easier to use. The occupations were selected because they are close in occupation area and important skills. The examples are not a ranking. They do not show where most people work, where demand is highest, or which occupation is best suited to a particular person.
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See occupations connected to this ESCO occupation in the official O*NET–ESCO mapping. The relationship type comes from the source and is not a ranking or recommendation.
O*NET relationships: 1
17-2072.00
O*NET occupation is broader
The O*NET occupation covers a broader field of work than this ESCO occupation.
Open in O*NETThese relationships come from the official European Commission O*NET–ESCO crosswalk.
Relationship direction: O*NET occupation to ESCO occupation.
Several O*NET occupations can point to the same ESCO occupation, and one O*NET occupation can point to several ESCO occupations.
AltoTrail preserves the source relationship type. The order is technical and does not show which occupation is best, most relevant or recommended.
AltoTrail validates and presents the source relationships without adding ranking or recommendation semantics.
Economic activities linked to this occupation.
71.12Engineering activities and related technical consultancy71.2Technical testing and analysis33.1Repair and maintenance of fabricated metal products, machinery and equipmentelectronics engineer (2152.1)
| ESCO URI | http://data.europa.eu/esco/occupation/8edd8bff-cb59-4c9c-ab0f-59e77d18be48 |
|---|---|
| ESCO code | 2152.1.13 |
| ISCO group | 2152 |
| Concept type | Occupation |