IoT Automation Engineer (UAE Based)

Posted Yesterday
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Sharjah, Shāriqah, ARE
In-Office
Expert/Leader
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Leads industrial IoT and automation initiatives across manufacturing environments. Responsibilities include plant audits, Industry 4.0 transformation, robotics and cobot automation, IIoT architecture, device and network integration, vendor coordination, commissioning, troubleshooting, security, documentation, and technical mentoring. Develops automation applications using Python, JavaScript, or similar technologies and integrates sensors, gateways, PLCs, SCADA, enterprise platforms, and industrial communication protocols.
Summary Generated by Built In
  Location: UAE
  • Employment Type: Full-Time (FTE)
  • Experience Required: 10+ Years
  • Work Mode: Onsite
  • Duration: 1 Year
  • Candidate Requirement: Candidates must currently be based in the UAE and legally eligible to work in the UAE. Any nationality is acceptable.
Responsibilities
  • Conduct plant audits and capture As-Is manufacturing processes, instrumentation used, KPIs, and data flow while identifying opportunities for factory digitization and Industry 4.0 transformation.
  • Recommend appropriate sensors, data acquisition techniques, useful KPIs, and IIoT use cases to improve operational visibility and efficiency.
  • Verify process design diagrams, prepare technical specifications, and develop automation solutions for multiple projects simultaneously.
  • Lead technical assessments of system integrators and ODMs for Sensors, IIoT Gateways, Robots, Cobots, Drives, and Industrial Automation solutions.
  • Coordinate with vendors, ODMs, and system integrators for solution delivery, installation, testing, and commissioning.
  • Design, develop, and manage IoT and automation solutions integrating industrial devices, sensors, gateways, and enterprise platforms.
  • Lead IoT deployments, including device configuration, network integration, and data collection processes.
  • Implement and optimize automation frameworks to streamline manufacturing workflows and improve operational efficiency.
  • Monitor IoT systems and automation environments to ensure performance, reliability, availability, and security.
  • Troubleshoot complex IoT, automation, networking, and integration-related issues.
  • Develop custom automation applications and scripts using Python, JavaScript, or similar technologies.
  • Collaborate with Engineering, IT, and Operations teams to align IoT and automation solutions with business objectives.
  • Ensure compliance with applicable industrial standards, regulations, and best practices.
  • Document IoT architectures, automation workflows, and system configurations for ongoing support and future enhancements.
  • Mentor junior specialists and provide technical leadership across IoT and automation initiatives.
Must-Have Skills
  • Proven experience in Robotics Automation, Assembly Line Automation, and Manufacturing Process Automation, including conceptualization, design, simulation, architecture, and commissioning of automation solutions.
  • Strong technical knowledge of Industry Sensors, Actuators, IoT Gateways, Middleware, Data Storage, Robots, Cobots, and OT-IT Integration.
  • Hands-on experience in Robot and Cobot Simulation, Programming, Deployment, and Testing with OEMs such as KUKA, FANUC, ABB, Yokogawa, or similar vendors.
  • Must have good experience with industrial communication protocols including MODBUS, Profibus, Profinet, HART, Ethernet, OPC UA, and OPC HDA.
  • Strong understanding of IIoT Solution Architecture, including MQTT and AMQP protocols, and experience with IoT platforms such as ThingWorx, Azure IoT Hub, and AWS IoT Core.
  • Experience implementing Industrial IoT use cases such as OEE, Predictive Maintenance, Camera-Based Quality Inspection, Genealogy, and SPC.
  • Hands-on experience in Industry 4.0 Initiatives, IoT Platforms, Connected Devices, Industrial Automation, OT/IT Integration, and Digital Transformation Programs.
  • Extensive experience in IoT Architecture, Device Integration, and Network Protocols including MQTT and CoAP.
  • Proficiency with automation frameworks such as Node-RED, Home Assistant, and Ansible.
  • Strong programming skills in Python, JavaScript, and C/C++.
  • Knowledge of Edge Computing, Real-Time Data Processing, and IoT Data Analytics.
  • Advanced understanding of IoT Security, including Encryption, Authentication, and Secure Communication.
  • Experience working with PLCs, SCADA Systems, Historians, HMIs, CNC Controllers, and OT/IT Integration Environments.
Good-to-Have Skills
  • Advanced knowledge of Batch Process Engineering, including ISA S88 and ISA 95 standards.
  • Experience in Batch Engineering, Testing, and Commissioning.
  • Advanced training or certifications in DCS, PLC, SCADA, or Instrumentation from reputable automation vendors.
  • Advanced knowledge of Vision Systems for Quality Inspection, OCR, Temperature Detection, Good/Reject Count, Measurement, and Quality Verification Technologies.
  • Experience with Plant Automation Accelerator.
  • Knowledge and experience with OSI PI Historian.

Skills Required

  • 10+ years of professional experience.
  • Experience in robotics automation, assembly line automation, and manufacturing process automation, including conceptualization, design, simulation, architecture, and commissioning.
  • Technical knowledge of industrial sensors, actuators, IoT gateways, middleware, data storage, robots, cobots, and OT/IT integration.
  • Hands-on experience with robot and cobot simulation, programming, deployment, and testing using OEMs such as KUKA, FANUC, ABB, or Yokogawa.
  • Experience with MODBUS, Profibus, Profinet, HART, Ethernet, OPC UA, and OPC HDA.
  • Understanding of IIoT solution architecture, MQTT and AMQP, and IoT platforms including ThingWorx, Azure IoT Hub, and AWS IoT Core.
  • Experience implementing OEE, predictive maintenance, camera-based quality inspection, genealogy, and SPC use cases.
  • Experience with Industry 4.0 initiatives, IoT platforms, connected devices, industrial automation, OT/IT integration, and digital transformation programs.
  • Experience with IoT architecture, device integration, and MQTT and CoAP network protocols.
  • Proficiency with Node-RED, Home Assistant, and Ansible.
  • Strong programming skills in Python, JavaScript, and C/C++.
  • Knowledge of edge computing, real-time data processing, and IoT data analytics.
  • Advanced understanding of IoT security, including encryption, authentication, and secure communication.
  • Experience with PLCs, SCADA systems, historians, HMIs, CNC controllers, and OT/IT integration environments.
  • Advanced knowledge of batch process engineering, including ISA S88 and ISA 95 standards.
  • Experience in batch engineering, testing, and commissioning.
  • Advanced training or certifications in DCS, PLC, SCADA, or instrumentation from reputable automation vendors.
  • Advanced knowledge of vision systems for quality inspection, OCR, temperature detection, counting, measurement, and quality verification.
  • Experience with Plant Automation Accelerator.
  • Knowledge and experience with OSI PI Historian.
  • Currently based in the UAE and legally eligible to work in the UAE.

Datamatics Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.

  • Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
  • Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.

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The Company
HQ: Dubai
65 Employees
Year Founded: 2016

What We Do

Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.

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