IT Engineer

About the role

Assist the IT superior in daily IT operations, digitalisation projects, and smart-manufacturing initiatives. Provide hands-on technical support while escalating approvals, architecture decisions, major changes, and unresolved risks to the responsible superior.

Key responsibilities

IT Infrastructure & User Support

· Support installation, configuration, maintenance, and troubleshooting of computers, printers, mobile devices, network points, Wi-Fi, servers, and NAS systems.

· Assist with user accounts, email, access permissions, onboarding, asset records, backups, antivirus, patching, and routine health checks.

· Record incidents, actions taken, downtime, recurring faults, and escalation status.

ERP, MES, WMS & Data Support

· Support users and assist in testing, data checking, master-data preparation, issue logging, and vendor follow-up for ERP, MES, WMS, and reporting systems.

· Prepare basic reports, dashboards, data extracts, and system documentation under supervision.

· Check data accuracy and promptly report missing, abnormal, duplicated, or inconsistent records.

AI & Intelligent Automation Support

· Assist in identifying suitable AI use cases for production, quality, planning, maintenance, store, and administrative processes.

· Support AI assistants, workflow automations, document extraction, forecasting, anomaly detection, and knowledge-search solutions.

· Prepare datasets, test prompts and models, validate outputs against approved source data, document limitations, and monitor performance after deployment.

· Protect confidential information and do not allow unverified AI output to trigger business or machine actions without the required human approval.

IoT & Shop-Floor Connectivity

· Assist with installation, labelling, connection, testing, and monitoring of sensors, gateways, edge devices, counters, energy meters, and machine-data collection points.

· Support communication between machinery, PLC/HMI, MES, databases, and dashboards using approved industrial protocols and interfaces.

· Monitor device status and data quality; investigate basic connectivity faults and escalate control-system or electrical issues to Engineering, Maintenance, or the equipment supplier.

Machine Vision & Inspection Technology

· Support camera, lighting, lens, trigger, image-capture, and inspection-system setup for approved quality, counting, identification, dimension, surface-defect, and safety applications.

· Collect and label images, conduct controlled trials, record false accepts and false rejects, and assist with accuracy validation before release.

· Perform routine cleaning, focus and lighting checks, backup settings, and first-level troubleshooting; escalate calibration or system-design changes.

Machinery Technology & Integration Support

· Work with Production, Engineering, Maintenance, Quality, and vendors to understand machine processes, operating signals, downtime causes, and improvement opportunities.

· Assist with approved testing of machine monitoring, condition monitoring, predictive-maintenance, traceability, OEE, alarm, and digital work-instruction solutions.

· Do not alter PLC logic, safety circuits, interlocks, machine parameters, or electrical systems without written authorisation and supervision by the responsible technical owner.

· Comply with machine-safety, permit-to-work, and lockout/tagout requirements; never bypass a safety device or test on live machinery outside an approved procedure.

Documentation, Vendor & Project Support

· Maintain inventories, network and device records, system configurations, user guides, SOPs, test results, change logs, and project action lists.

· Assist with quotations, vendor visits, installation coordination, user training, acceptance testing, and handover documentation.

· Provide progress updates, highlight delays and risks early, and complete other related duties assigned by the immediate superior.

Continuous Learning

Keep up to date with AI, IoT, machine vision, cybersecurity, industrial automation, and machinery technologies relevant to the company's operations.

Job Requirement

• Minimum Diploma (Fresh graduates with suitable technical projects, internships, or practical exposure may be considered / Bachelor's degree in Information Technology, Computer Science, Mechatronics, Automation, Electronics, Engineering, or a related field is preferred).

• Relevant entry-level certification in IT support, networking, cloud, cybersecurity, AI, IoT, PLC, or machine vision is an advantage.

• Familiarity with ERP, MES, WMS, databases, dashboards, and industrial automation systems is preferred.

• Training in electrical or machinery safety, lockout/tagout, or industrial communication protocols is an advantage.

• Windows, endpoint devices, basic server, network, Wi-Fi, and user support.

• Basic data handling, SQL, dashboards, scripting, APIs, and workflow automation.

• Practical use of AI tools, prompt design, testing, and output validation.

• IoT sensors, gateways, edge devices, device connectivity, and data collection.

• Basic machine-vision concepts: cameras, lighting, lenses, image capture, and inspection.

• Basic understanding of PLC, HMI, machine signals, industrial protocols, and machinery interfaces.

• Cybersecurity awareness, documentation, troubleshooting, communication, and teamwork.