Senior Condition-Based Maintenance (CBM) Engineer

Daun Biru Engineering · 📍 Bali, Indonesia · Diposting 2026-10-09
FULL_TIME⭐ TERVERIFIKASI
IDR 15000000 - 25000000

Daun Biru Engineering is seeking a highly skilled Senior Condition-Based Maintenance (CBM) Engineer to join our team in Bali, Indonesia. This role is crucial for ensuring the optimal performance and longevity of our industrial assets through advanced CBM techniques.

In this role, you will be responsible for implementing and managing CBM programs, analyzing data to predict equipment failures, and providing actionable insights to our maintenance team.

If you are passionate about industrial maintenance, have a strong background in CBM, and are eager to contribute to a dynamic engineering environment, we encourage you to apply.

📋 Tanggung Jawab Pekerjaan

Develop and implement CBM programs for industrial assets.,Conduct data analysis to predict equipment failures and optimize maintenance schedules.,Collaborate with cross-functional teams to ensure effective implementation of CBM strategies.,Provide technical guidance and training to maintenance personnel.,Monitor and evaluate the performance of CBM programs, making necessary adjustments.,Stay updated with the latest advancements in CBM technologies and best practices.,Document all CBM activities and findings for future reference.,Participate in continuous improvement initiatives to enhance maintenance efficiency.

🎓 Kualifikasi & Syarat

Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related field.,Minimum of 5 years of experience in industrial maintenance, with a focus on CBM.,Proven track record in implementing and managing CBM programs.,Strong knowledge of CBM tools and techniques, including vibration analysis, thermography, and oil analysis.,Proficiency in data analysis and interpretation.,Excellent communication and interpersonal skills.,Ability to work in a fast-paced, dynamic environment.,Familiarity with relevant industry standards and regulations.

🛠️ Keahlian

CBM software proficiency (e.g.SKFVibroor similar tools).Experience with predictive maintenance systems.Knowledge of statistical analysis and machine learning applications in maintenance.Strong problem-solving and decision-making skills.Ability to work independently and as part of a team.Fluency in Englishboth written and spoken.
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