Senior Engineer, Manufacturing Engineering (Data Management and Systems Engineering)

WD; Biñan; On-site; PHP 600,000 - 900,000; Full time

Job summary

WD is seeking a Senior Engineer (Data Management and Systems Engineering) to automate data collection and reporting in our manufacturing operations. You will analyze data to identify yield patterns, build real-time dashboards, and drive data-informed decisions across cross-functional teams.

The role requires a Bachelor's degree in a related field and at least 2 years of experience in electronics/communication, computer or information technology.

Qualifications

• Bachelor-level degree in a related engineering/IT field.
• At least 2 years of professional experience in data management or manufacturing analytics.
• Experience with AI-based inspection, ML, or IoT platforms is a plus.

Responsibilities

• Automate inspection data collection and reporting to enhance visibility and accuracy.
• Analyze data to identify yield-impacting patterns and develop dashboards for real-time decision-making.
• Collaborate with manufacturing and automation teams to integrate data from various systems.
• Lead digital initiatives to simplify processes and improve factory efficiency.
• Ensure data integrity and promote a data-driven culture within engineering teams.
• Maintain and troubleshoot tools, collaborating with vendors for system upgrades and repairs.
• Use data analytics tools (e.g., Python, SQL, Power BI) to analyze trends and create visualizations.
• Act as focal person for inspection algorithm updates and validation.

Skills

Data analysis

Python

SQL

Power BI

Communication

Education

Bachelor's Degree in Electronic and Communication Engineering

Bachelor's Degree in Computer Engineering

Bachelor's Degree in Computer Science

Bachelor's Degree in Information Technology

Tools

Python

SQL

Power BI

Job description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today.

We're looking for people who want to build, solve, and operate at that level.

Join us and let's shape the future of data.

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today.

We're looking for people who want to build, solve, and operate at that level.

Join us and let's shape the future of data.

Job Description

Summary of the Role

As a Senior Engineer (Data Management and Systems Engineering), you will be responsible for automating inspection data collection and reporting to improve visibility, accuracy, and efficiency within manufacturing operations. You will analyze data to identify yield-impacting trends, develop real-time dashboards, and drive data-informed decision-making. Collaboration with cross-functional teams including manufacturing, automation, and vendors. The role also leads digital transformation initiatives, manages inspection algorithm updates and validations, and promotes a data-driven culture.

Key Responsibilities and Role Accountabilities

• Automate inspection data collection and reporting to enhance visibility and accuracy.
• Analyze data to identify yield-impacting patterns and develop dashboards for real-time decision-making.
• Collaborate with manufacturing and automation teams to integrate data from various systems.
• Lead digital initiatives to simplify processes and improve factory efficiency.
• Ensure data integrity and promote a data-driven culture within engineering teams.
• Maintain and troubleshoot tools, collaborating with vendors for system upgrades and repairs.
• Use data analytics tools (e.g., Python, SQL, Power BI) to analyze trends and create visualizations.
• Focal person for inspection algorithm updates and validation to ensure consistent and accurate defect classification
• Perform other duties as assigned.

Qualifications

Education and Work Experience

• Bachelor's Degree in Electronic and Communication Engineering, Computer Engineering, Computer Science, Information Technology or a related field of study.
• Atleast 2 years of professional experience in the relevant field.
• Industry exposure in the Electronics or Semiconductor Manufacturing setup is highly preferred.
• Engineering experience related to statistical data analysis tools, AI-based inspection, Machine Learning, Python or IoT platforms.

Skills and Competency Requirements

• Proficient in software analysis and statistical tools.
• Proficient in Microsoft Office applications.
• Knowledge of image processing, AI-based inspection, or IoT platforms is a plus.
• Knowledge of Python, SQL, or JavaScript for data processing is an advantage.
• Strong troubleshooting and critical thinking skills. Willingness to learn new tools and systems.
• Strong interpersonal, oral, and written English communication skills required to conduct daily activities.
• Ability to build and maintain effective working relationships with internal and external stakeholders.
• Highly motivated, participative team player with the ability to perform in a results-oriented and time-sensitive environment.
• Strong problem-solving skills and attention to detail.
• Ability to prioritize and multitask, with flexibility to adapt quickly to change.

Other Requirements

• Open to employment opportunities in Binan City, Laguna, CALABARZON, Philippines.
• Open to an on-site reporting work arrangement.
• Open to a dayshift work schedule.

Important Reminders

• We provide free medical examination.
• We do not collect any original requirements.
• We do not collect any fees at any stage of the hiring process.

Additional Information

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [e-mail] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates

Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [e-mail].