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

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. 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. 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 c