Industrial Project Engineer

Key Responsibilities:

• Lead the automation and digitization of tasks for enhanced performance and efficiency (paperless audits, paperless traceability tools, automated quality control tools, etc).
• Lead Project Management and Continuous Improvement initiatives (lean manufacturing techniques, redesign of process flow, improvement of ergonomic and working conditions, documentation associated).
• Train all relevant stakeholders (especially Team Leaders and Operation employees) on the mastery of skills regarding new technologies deployed to improve productivity (paperless audits, automated data collection).
• Monitor equipment and processes and ensure recording of process parameters.
• Provide manufacturing Kpis such as Intro rate, lead times, OLE, OEE and SOT.
• Collaborate with appropriate sites or departments to investigate and resolve complex concerns in timely manner.
• Continuously pursue knowledge of benchmark processes and practices and encourage application within SLS Malaysia.
• Lead the efforts to achieve continuous improvement and performance objectives in the areas of throughput, delivery, cost, quality, and safety.
• Develop and maintain effective collaborative working relationships with both internal and external customer.
• Adhere and actively participate in occupational Safety, Health and Environmental policies, Energy policies procedures and activities such as I-See I-Act, GPI, low carbon initiative etc.
• Adhere and comply with Business Ethics, Anti-Corruption, Flight Safety Management System, and others relevant policies, procedures and activities.
• Perform other related duties as required.

Key Requirements:

• Possesses a Bachelor's Degree in Engineering or any equivalent field or applicable experience.
• Minimum 2 years working experience in manufacturing environment.
• Experience in automation, robotic and digitalisation field.
• Excellent oral and written communication skills of English language.
• Strong knowledge in Microsoft Excel (Pivot Tables, VBA macros)
• Knowledge on data analysis tools such as PowerBI, SQL queries would be a strong plus.