Knowledge:

• Final-year student in: Mechanical Engineering, Electrical Engineering, Mechatronics or related field 

• General understanding of digital transformation concepts (value delivery, adoption, operating rhythm, and continuous improvement).

• Foundational understanding of enterprise data and analytics concepts (data quality, definitions, lineage/traceability, and reporting reliability).

• Awareness of governance principles (roles, decision records, standards, and accountability mechanisms).

• Awareness of responsible data practices (privacy, access, and appropriate handling of sensitive information).

• Understanding of organizational dynamics and stakeholder management basics (how to capture needs, align expectations, and communicate clearly)

Technical skills:

• Basic understanding of mechanical systems and industrial equipment (pumps, conveyors, motors, gearboxes).

• Foundational knowledge or interest in condition monitoring techniques, including:
  o    Vibration analysis (basic level)
  o    Infrared thermography (basic level)
  o    Lubrication and tribology fundamentals

• Ability to collect and record accurate data in structured formats (Excel, inspection templates, mobile tools).

• Basic proficiency in Microsoft Excel for data entry and simple analysis.

• Understanding of maintenance workflows (work identification → planning → execution).

• Strong attention to detail for defect identification and reporting.

• Willingness to learn and apply reliability engineering principles.