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Maintenance Engineer I

ATL Technology · San Rafael

Nouveau
🇬🇧 English
TPM RCA Ishikawa 5 Why’s FMEA PLC sensors drives Excel Power Query Power Pivot Power BI Tableau IIoT ISO 55000 Criticality analysis RCM statistical analysis

Description du poste

About the role

The Maintenance Engineer I supports the implementation of Total Productive Maintenance (TPM) across production assets, ensuring high equipment reliability and availability. This position works closely with production, engineering, and quality teams to drive preventive and predictive maintenance practices.

Key responsibilities

  • Execute preventive, corrective, and predictive maintenance activities following TPM principles.
  • Monitor recurring failures, conduct root‑cause analysis (RCA) and recommend corrective actions.
  • Develop, update, and optimise maintenance plans for production equipment and utilities.
  • Document all maintenance work in the CMMS system and ensure data integrity.
  • Coordinate downtime and improvement projects with Production, Engineering, and Quality.
  • Participate in Kaizen, 5S, SMED, and other continuous‑improvement initiatives.
  • Maintain compliance with safety standards, including LOTO procedures.
  • Support equipment installation, commissioning, validation and warranty follow‑up.
  • Manage critical spare‑parts inventory and generate KPI reports (MTTR, MTBF, OEE).

Required profile

  • Bachelor’s degree in Electromechanical, Mechanical, Electronic, Mechatronics Engineering or related field.
  • 2–3 years of experience in industrial maintenance, preferably in regulated or advanced‑manufacturing environments.
  • Ability to read mechanical, electrical and pneumatic schematics.
  • Intermediate English (B2) for technical documentation.

Required skills

  • Total Productive Maintenance (TPM)
  • Root‑Cause Analysis (RCA), Ishikawa, 5 Why’s, FMEA
  • CMMS platforms (Infor, SAP PM, eMaint, MP or similar)
  • Industrial control basics – PLC, sensors, drives
  • Excel (intermediate‑advanced), Power Query, Power Pivot
  • Data visualisation tools – Power BI, Tableau
  • IIoT configuration for Condition‑Based Maintenance (CBM)
  • ISO 55000 asset‑management fundamentals
  • Criticality analysis, RCM, statistical analysis for spare‑parts optimisation

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ATL Technology

San Rafael