Design, specify, and review instrumentation and control systems for energy and industrial facilities. Support engineering and configuration of PLC, DCS, and SCADA systems. Support FAT, SAT, commissioning, and start - up activities. Coordinate with process, electrical, mechanical, and civil engineering teams. Ensure compliance with industry standards (IEC, ISA, API, ISO). Prepare technical documentation and engineering reports. Support the implementation of industrial IoT (IIoT) solutions for data acquisition, monitoring, and diagnostics. Assist in connecting field devices, sensors, or PLCs to IoT gateways or edge devices. Support integration of plant data to cloud or on - premise platforms for visualization and analytics. Participate in basic dashboarding, data trending, or condition monitoring use cases. Collaborate with IT, OT, and digital teams on secure data connectivity and system integration. Support troubleshooting of IoT - enabled monitoring systems during operation. Bachelor's degree in Instrumentation, Control, Electrical, Electronics, Mechatronics, or Automation Engineering. Typically 3 - 5 years of experience in instrumentation, control, or industrial automation. Solid understanding of instrumentation and control engineering fundamentals , experience with PLC, DCS, and/or SCADA systems (any major vendor) , and have the competency to read and develop P&IDs and I&C engineering documentation. Had exposure to IoT, digitalization, or smart monitoring projects in industrial or energy environments , familiar with IoT communication protocol (e.g. MQTT, OPC UA) . Had experience with Edge devices or industrial gateways , and Cloud or on - premise monitoring platforms (e.g.,Azure IoT, AWS IoT, or similar) . Programming and Software : Proficiency in programming languages, such as Python, C/C++, and knowledge of IIoT platforms (e.g. Azure, AWS, Google Cloud). Data Analytics : Skills in data analysis, machine learning, and statistical modeling to extract meaningful insights from sensor data, including creating the use cases simulator. Strong engineering mindset with curiosity for digital technologies. Willingness to learn and adapt to IoT and digital transformation initiatives. Structured problem - solving and attention to detail. Good communication skills with both technical and non - technical stakeholders. Ability to work effectively in multidisciplinary teams (I&C, IT, OT, digital). Self - motivated, reliable, and quality - focused.