Must be willing to work onsite in Senai, Johor (Mon-Fri, 8am-5pm).
Prepare annual process work plans based on the company's annual product work plan, and guide and compile process standards, manuals, quality control points, and other process management documents.
Review the economic and technical rationality of product technical requirements, the rationality and feasibility of product structural relationships, the economic and technical rationality of proposed material selection, and the quality of assembly and processing performance, among other process design aspects.
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Position: Process EngineerCompany Background: Data Center Supply Chain Manufacturing CompanySalary range: MYR6,000 – MYR9,000Working Location: Senai, JohorWorking Hours: 8am – 5pm (Mon - Fri)
Designs, implements, and optimizes industrial processes to enhance efficiency, safety, and product quality within a manufacturing or production environment. Their responsibilities include analyzing workflows, creating technical documentation, designing and testing new or modified systems, managing projects, ensuring regulatory compliance, and collaborating with cross-functional teams to troubleshoot issues and drive continuous improvement in areas like cost reduction and waste minimize
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Assist in monitoring work performed by contactors.
General cleaning-Manage and maintain safety and housekeeping standards in the plant & ensure work place at Utility area, Boiler and WWTP clean and safe
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The Engineering Manager acts as a trusted technical advisor to the Plant Manager , providing engineering risk assessments, capital investment cases, and continuous improvement initiatives that directly protect OEE, reduce conversion cost, and safeguard food safety and product quality.
Asset Reliability & Maintenance Excellence
• Own and govern the plant's Maintenance Master Plan — encompassing Autonomous Maintenance (AM), Planned Maintenance (PM), and Predictive Maintenance (PdM) programmes across all production lines and utilities.
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Position executes integration, industrialization, optimization and improvement of space, equipment and machine at the GKN Engine Systems Malaysia facility.
We’ll offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further. And with some of the best training on offer in the industry, who knows how far you can go?
A Great Place to work needs a Great Way of Working
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Plan and schedule production in close collaboration with commercial, distribution and scheduling team. Plan daily and monthly production for ASU plants to optimize product cost and fulfill customer demand. Monitor tank inventory and engagement with PPE for plant load adjustment if applicable.
Ensure the cost of production is properly monitored and controlled and take necessary actions to rectify any variance arises.
Ensure accurate records and plant operating logs are kept and updated. Adhere to ISO9001, ISO14001, ISO 45001, Halal recertification and FSMS procedures where applicable and support the formulation of related standards as per business requirements.
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The Engineering Manager acts as a trusted technical advisor to the Plant Manager , providing engineering risk assessments, capital investment cases, and continuous improvement initiatives that directly protect OEE, reduce conversion cost, and safeguard food safety and product quality.
Asset Reliability & Maintenance Excellence
• Own and govern the plant's Maintenance Master Plan — encompassing Autonomous Maintenance (AM), Planned Maintenance (PM), and Predictive Maintenance (PdM) programmes across all production lines and utilities.
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Ability to interpret engineering drawings, technical specifications and manufacturing documentation.
Strong analytical, problem-solving, communication, and interpersonal skills, with the ability to work effectively in a cross-functional team.
Review and evaluate products, samples, engineering drawings, and specification requirements, and conduct feasibility studies on manufacturing technologies.
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Bachelor’s degree or above in Engineering (Mechanical, Electrical, Automation, or related fields) with excellent academic performance and strong professional skills.
Willing to take professional training in China for 3-6 months.
Strong problem-solving ability with a proactive learning attitude.
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Attend and record any breakdowns that are causing halt of Production. Analyses Production equipment’s idle time and keep track of the Production performance while ensuring corrective actions are carried out
Review, develop and implement production procedures to improve operational efficiency and ensure consistently compliance.
Assist with QA/QC activities including audits, defects analysis and raw material inspection, cube strengths monitoring and etc.
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Attend and record any breakdowns that are causing halt of Production. Analyses Production equipment’s idle time and keep track of the Production performance while ensuring corrective actions are carried out
Review, develop and implement production procedures to improve operational efficiency and ensure consistently compliance.
Assist with QA/QC activities including audits, defects analysis and raw material inspection, cube strengths monitoring and etc.
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To conduct studies on each model or parts as against theoretical and to propose to the Management on better methods and more efficiency means
To conduct Safety studies on all Operation in the production floor or factory as to ascertain our Safety Objectives are met
To propose to the Management improvement plans on all processes and how to cut cost and waste of material as against actual plans. Also, to forward and report all his findings and improvement plans on a weekly basis
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Develop and maintain end-to-end(Substrate-Media-HDD) analytics pipelines - from data extraction and preparation through model training, validation, and production deployment.
Create self-serve data dashboards and automated reports using Spotfire to support real-time Cpk, Yield, and SPC monitoring for the manufacturing line.
Support AI-driven root cause analysis for quality excursions, reducing manual investigation cycle time.
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