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OT (Operational Technology) & MES Engineer

• Lead end-to-end MES deployment by gathering detailed manufacturing requirements from all production sub-departments (Core, Winding, Assembly, Tanking, Drying, and Testing).

• Develop comprehensive MES functional specifications, business process workflows, and user requirement specifications (URS).

• Evaluate MES vendors, participate in technical workshops, and manage vendor deliverables to ensure alignment with AGH’s project roadmap.

• Oversee system integration testing (SIT), User Acceptance Testing (UAT), end-user training, and Go-Live support.

• Configure, test, and troubleshoot industrial communication protocols (OPC UA, Modbus TCP, Profinet, Ethernet/IP, MQTT).

• Partner with international machine OEMs and automation suppliers for PLC integration, tag mapping, and data extraction.

• Facilitate seamless, two-way data integration between MES, SAP S/4HANA Cloud, WMS, Microsoft Power Apps, and Power BI.

• Support API development, middleware configuration (e.g., Kepware, Node-RED), and interface testing for production order downloads, material consumption, and finished goods movement.

• Ensure real-time data sync between physical inventory scans (Barcode/QR/RFID) and ERP/WMS databases.

• Design, build, and maintain real-time Overall Equipment Effectiveness (OEE) dashboards, machine status monitors, and downtime tracking systems.

• Implement end-to-end Production Traceability (serial tracking from raw CRGO steel and copper reels to final transformer units).

• Deploy Digital Work Instructions (DWI) and paperless shop-floor interfaces to streamline operator workflows and reduce human error.

• Monitor key performance metrics including OEE, cycle times, quality yield, scrap rates, and machine utilization.

• Build automated management dashboards using Power BI and custom web tools to deliver actionable insights to plant leadership.

• Conduct root-cause analysis on recurring machine communication failures or data discrepancies.

• Actively contribute to AGH's Smart Factory vision by supporting projects in AI-based Predictive Maintenance, Digital Twin simulation, Industrial IoT (IIoT), and Automated Energy Monitoring.

• Stay abreast of emerging Smart Factory technologies and assess their potential application in power equipment manufacturing.

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• Bachelor’s Degree in Electrical Engineering, Mechatronics, Automation Engineering, Computer Engineering, or Information Technology.

• Master’s Degree in Automation, Industrial Engineering, or IT Management is a strong advantage.

•  5+ years of direct hands-on experience in MES implementation, SCADA, PLC programming/connectivity, or manufacturing digitalization.

• Industry experience in transformer manufacturing, heavy electrical equipment, automotive, semiconductor, or advanced industrial manufacturing is highly preferred.

• Proven track record of managing technical vendors and coordinating cross-functional engineering projects.

• Analytical Thinking: Strong capacity to break down complex operational bottlenecks into actionable technical solutions.

• Vendor & Stakeholder Management: Ability to drive alignment among foreign machine suppliers, software vendors, and plant operators.

• Resilience & Leadership: Calm under pressure during critical system rollouts and Go-Live phases.

• Growth Mindset: Passionate about continuous learning in AI, Edge Computing, and Smart Manufacturing technologies.

• Professional working proficiency (Fluent in technical reading, writing, and vendor meetings).

• Direct opportunity to build Myanmar’s first fully integrated Transformer Smart Factory.

• Direct exposure to tier-1 enterprise tools—SAP S/4HANA Cloud, Industrial IoT, AI Analytics, and Advanced Robotics/Automation.