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Automation Technician RME, Relatability Maintenance Engineering

Amazon

Dammam

Hybrid

SAR 120,000 - 150,000

Full time

Yesterday
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Job summary

A leading logistics company in Dammam is looking for a Facilities Supervisor - Maintenance to lead a technical team ensuring proactive maintenance of operational equipment. Responsibilities include troubleshooting, continuous improvement projects, and effective communication with stakeholders. The ideal candidate will have experience with PLC-controlled automation and automated conveyor systems, along with a degree in a relevant engineering field. Join a dynamic team focused on operational excellence and customer satisfaction.

Qualifications

  • 1+ years of experience in PLC-controlled automation and diagnosis.
  • 2+ years working with automated conveyor systems.
  • Ability to communicate in English and local language at CEFR Level B2.

Responsibilities

  • Act as the site Subject Matter Expert for controls systems.
  • Monitor and repair systems for high equipment availability.
  • Participate in continuous improvement projects.

Skills

PLC-controlled automation
Automated conveyor systems
Microsoft Office
English communication

Education

Degree in computer science, mechanical engineering, or related fields
Job description

Description

The Facilities Supervisor - Maintenance, will have a significant impact on customer experience. The Supervisor will have the ability to lead other technicians, design solutions for challenging problems, manage outside contractors, be on call for emergencies, to handle multiple projects and daily activities, and meet time lines. The Supervisor will develop plans on how to accomplish engineering departmental goals and will be responsible for the leadership/development and coaching of the team through Performance Management. This role also leads the technical team in providing both a reactive and pro‑active maintenance service on all operational equipment and facilities infrastructure within the Amazon Facility. The role has a direct impact on the site, its productivity and operational success. If equipment is not available or performs badly it minimizes the capacity and throughput of the site.

Key job responsibilities
  • Be the site level Subject Matter Expert (SME) for all controls systems and sensors within the building. Work in a hands‑on manner to actively monitor, fault find and repair systems in order to provide a high level of equipment availability to internal customers.
  • Work within the EU Controls network to enhance the capability to monitor Material Handling Equipment (MHE) metrics and provide visualization and data to internal customers by means of troubleshooting and prioritizing.
  • Actively participate in or own continuous improvement projects coordinated by the EU Controls network.
  • Work with IT, EU Controls Engineering and Operations Engineering to ensure all systems are correctly documented and that accurate backup libraries are maintained.
  • Work alongside global teams to support the installation and commission of new equipment.
  • Support other sites in the EU network as required.
  • Interpreting both mechanical and electrical drawings plus understanding and developing improvement strategies for code conforming to IEC 61131-3.
Basic Qualifications
  • 1+ years of process or production environment related PLC‑controlled automation and issue diagnosis experience
  • 2+ years of automated conveyor systems and controls experience
  • Experience in engineering and estimating material handling and storage systems
  • Experience with all Microsoft Office applications
  • Ability to communicate (written & verbal) in English and the local language at CEFR Level B2 or higher.
Preferred Qualifications
  • Electrical or mechanical training degree in computer science, mechanical engineering, electrical engineering, or related fields.
  • Understanding of ISO 13849 & 62061
  • Familiarity with CE Machinery Directive.
  • Experience in a multi‑site environment.
  • Project management experience.
  • Knowledge of Six Sigma, data analysis and process improvement techniques.

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