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Engineering 🏢 Full Time ⭐️ Terverifikasi

Senior Industrial Engineer - High-Impact Role in Bali's Tech Hub

Wiwynn Technology Service Malaysia
Bali, Indonesia
Salary Estimate
Rp 25.000.000 – Rp 40.000.000
Newest
Live Update
24 Juli 2026
Deadline
24 Jul 2027

job description

Join Wiwynn Technology Service Malaysia, a global leader in cloud infrastructure and data center solutions, as our Senior Industrial Engineer in the heart of Bali’s thriving tech ecosystem. This is a unique opportunity to drive operational excellence, optimize manufacturing processes, and shape the future of high-tech production in one of the world’s most dynamic regions.

In this role, you’ll leverage your expertise in work study, process optimization, and industrial engineering to enhance productivity, reduce waste, and set industry-leading standards for equipment capacity and workforce efficiency. You’ll collaborate with cross-functional teams to implement lean manufacturing principles, analyze production bottlenecks, and develop data-driven solutions that elevate operational performance.

Bali’s vibrant tech community, combined with Wiwynn’s cutting-edge projects, offers an unparalleled environment for professional growth. Whether you’re based in Canggu, Ubud, Denpasar, or Kuta, you’ll enjoy a perfect blend of work-life balance, cultural richness, and career advancement opportunities. If you’re a strategic thinker with a passion for innovation and a track record of delivering measurable results, we want you on our team.

This role is ideal for a detail-oriented problem solver who thrives in fast-paced environments and is eager to make a tangible impact on global technology manufacturing. Apply now and be part of a company that values your expertise and empowers you to lead change.

Responsibility

  • Conduct comprehensive work studies and time-motion analyses to establish standard operating procedures (SOPs) for equipment capacity and utilization.
  • Develop and implement productivity metrics, including labor efficiency, machine utilization, and overall equipment effectiveness (OEE).
  • Identify process inefficiencies and bottlenecks using lean manufacturing principles and Six Sigma methodologies.
  • Collaborate with production, engineering, and supply chain teams to optimize workflows and reduce operational waste.
  • Design and deploy data-driven solutions to enhance manufacturing throughput, quality, and cost-effectiveness.
  • Lead cross-functional projects to improve factory layout, material flow, and ergonomic workplace design.
  • Train and mentor junior engineers and production staff on best practices for industrial engineering and process improvement.
  • Prepare detailed reports and presentations for senior management, highlighting key performance indicators (KPIs) and actionable insights.

Qualifications

  • Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field; Master’s degree is a plus.
  • Minimum 5 years of experience in industrial engineering, process optimization, or manufacturing operations, preferably in the tech or electronics industry.
  • Proven expertise in work study, time-motion analysis, and lean manufacturing techniques (e.g., 5S, Kaizen, Value Stream Mapping).
  • Proficiency in data analysis tools (e.g., Minitab, Excel, SQL) and industrial engineering software (e.g., AutoCAD, FlexSim, or similar).
  • Strong analytical skills with the ability to interpret complex data and translate it into actionable strategies.
  • Excellent communication and stakeholder management skills, with the ability to influence and drive change across teams.
  • Certifications in Six Sigma (Green Belt or Black Belt) or Project Management (PMP, PRINCE2) are highly desirable.
  • Fluency in English; additional languages (e.g., Bahasa Indonesia, Mandarin) are an advantage.

Required Skills

Industrial Engineering Process Optimization Lean Manufacturing Six Sigma Work Study Time-Motion Analysis Data Analysis AutoCAD Minitab Project Management Cross-Functional Collaboration Problem-Solving Manufacturing Operations Equipment Utilization Productivity Metrics

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