PLC Scada Jobs in Saudi Arabia

• 2 - 7 Years
• Eastern Province - Saudi Arabia

Identify and develop business opportunities, promote automation systems, achieve sales targets, and provide technical support with strong communication skills.

• 6 - 10 Years
• Saudi Arabia - Saudi Arabia

Lead and supervise maintenance team for PLC, SCADA, and control systems, ensuring compliance with safety standards and system reliability.

• 10 - 12 Years
• Saudi Arabia - Saudi Arabia

Perform detailed engineering for instrumentation and control systems in Oil and Gas, ensuring compliance with standards and supporting project execution.

• 5 - 7 Years
• Riyadh - Saudi Arabia

Responsible for maintaining PLC, SCADA, and automation systems; requires diploma in Instrumentation, PLC/SCADA certification, and strong troubleshooting skills.

• 20 - 22 Years
• Saudi Arabia - Saudi Arabia

Seeking a candidate with experience in engineering compliance, SOP preparation, instrumentation, and maintenance of process equipment in the pharmaceutical industry.

• 10 - 15 Years
• Riyadh , Dammam , Jeddah - Saudi Arabia

Seeking experienced engineers in Civil, Geotechnical, Electrical, Mechanical, ICA, and Hydraulic modeling for water infrastructure projects in Saudi Arabia.

• 1 - 3 Years
• Saudi Arabia - Saudi Arabia

Responsible for automation engineering and reliability maintenance, requiring experience in programmable logic controls and troubleshooting installations.

• 1 - 3 Years
• Saudi Arabia - Saudi Arabia

Assist in design, implementation, testing, and maintenance of control automation projects using BMS, PLC, SCADA, and power monitoring products.

• 3 - 5 Years
• Eastern Province - Saudi Arabia

Responsible for technical support, troubleshooting, and maintenance of electrical systems in industrial environments; requires diploma in Electrical Technology and experience wi...

• 1 - 7 Years
• Saudi Arabia - Saudi Arabia

Monitor production processes, ensure compliance with safety standards, implement corrective actions, and optimize efficiency through data analysis and collaboration.