Senior Manufacturing Equipment Engineer (12 Hours Shift)

Work Location: North Salary: 6,500 – 8,000 Provide technical leadership in a high-volume consumables manufacturing environment, supporting the implementation and optimization of smart manufacturing systems. Troubleshoot, maintain, and optimize manufacturing equipment involving optical, mechanical, electrical, and fluidics systems. Drive improvements in equipment uptime, reliability, and overall manufacturing performance through continuous improvement initiatives. Lead and support New Product Introduction (NPI) activities, ensuring successful equipment readiness and process implementation. Apply engineering principles and systematic problem-solving techniques to resolve complex manufacturing and equipment-related issues. Identify and implement equipment performance enhancements to improve productivity, quality, and operational efficiency. Analyze equipment performance data to identify trends, determine root causes, and recommend data-driven solutions. Support the adoption of data analytics tools and methodologies to improve manufacturing decision-making and equipment reliability. Develop, train, and mentor Technicians and Engineers to enhance technical capabilities and ensure compliance with performance standards. Provide leadership, guidance, and day-to-day supervision to the assigned engineering team. Collaborate with cross-functional teams, including Manufacturing, Quality, Process Engineering, and Operations, to achieve production and business objectives. Ensure compliance with safety, quality, and regulatory requirements while promoting engineering best practices and continuous improvement. Requirements: Diploma or higher qualification in Electrical, Electronics, Mechanical, or Mechatronics Engineering, with at least 6 years of experience in a manufacturing environment. Exposure to data analytics is an advantage, including the ability to analyze equipment performance, identify trends, and support data-driven decision-making. Familiarity with digital and analytics tools such as Statistical Process Control (SPC), Python, Power BI, Tableau or Power Automate for data analysis, visualization, reporting, and workflow automation. EA Registration no: R1215243