Staff Engineer, Engineering

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, WD_BLACK™, and SanDisk® Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Data Sourcing and Collection: Define and collect data from various Facility systems, including CMMS (Computerized Maintenance Management System), Energy Monitoring Systems, PLC logs, or sensor data for utility systems such as HVAC, Electrical, Water, and Air Compressor systems.
• Data Preparation: Perform Data Cleansing & Shaping on facility and maintenance data to ensure high data quality and readiness for analysis.
• Insight Generation: Analyze data to identify anomalies, track breakdown rates, energy consumption costs, and measure system performance metrics (e.g., OEE or MTTR).
• Reporting and Visualization: Create and maintain automated Dashboards (e.g., using Power BI/Tableau) to regularly present key performance indicators (KPIs) to the management and engineering teams.
• Deep Dive Analysis: Conduct in-depth analysis to support cost reduction initiatives and Energy Saving projects within the department.
• Actionable Recommendations: Translate complex technical data into clear, actionable recommendations that guide decisions on Preventive Maintenance schedules and system improvements.
• Transition manual work to systematic process using automation and technology and digital tool.
• Leverage AI and Machine learning to predict trends, optimize processes and enhance decision-making.
• Provide utilities cost analysis including new product cost analysis.
• Support FE&M Cost reduction program / energy saving program management and control.
• Summary cost saving projects status for the department.
• Analysis and tracking for production, supporting area and main utility supply systems.
• Coordinate with all concerned groups to measure and collect utility consumption for both the main utility supply and production equipment.
• Conduct electrical cost analysis and tracking for production, supporting area and main utility supply systems.

REQUIRED:

• Bachelor’s or Higher degree in Electrical Engineering, Mechanical Engineering or Computer Science Engineering.
• 3 - 5 years’ Experience in related field. 
• Excellent verbal and Written communication skills in Thai and English.

SKILLS:

Soft skill:

• Problem-Solving: Possess strong analytical and logical thinking to determine the root cause of issues from large, complex datasets.
• Business Acumen: Demonstrate a strong understanding of the industrial Utility Systems such as HVAC, M&E and the operational needs of a manufacturing plant.
• Communication & Presentation: Possess excellent ability to communicate technical findings and deliver data-driven stories effectively to both technical engineers and managers.

Technical skill:

• Proficiency in Microsoft office Suite (Excel, Word, PowerPoint) for data analysis, reporting and documentation.
• Statistics and Math: Proficiency in basic statistical concepts and calculations.
• BI & Visualization: Expert skill level in using BI Tools like Power BI or Tableau for data visualization and dashboard creation.
• Database Querying: Strong capability in writing SQL Queries to extract data from various databases (e.g., SQL Server).
• Data Handling: Basic knowledge of ETL (Extract, Transform, Load) processes and tools (e.g., SQL Server Integration Services, Power Query).
• Programming (Plus): Foundational knowledge of programming languages like Python for more advanced data manipulation and statistical analysis is highly preferred.

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