PharmEng Technology has been providing quality services to leading manufacturers of healthcare and pharmaceutical products since 1997. Our specialists hold expertise in Commissioning & Qualification, Validation, Quality Systems, Regulatory Affairs, Engineering, and Training to ensure that our clients can continue providing the world with cost-effective, high-standard healthcare products.

At PharmEng Technology, we strive to cultivate the best working environment where empowerment, passion, and perseverance are nurtured while serving our clients to achieve their unique business goals.

Position Overview

We are seeking a Process Data Engineer with a strong background in process equipment design and commissioning, to be based in Singapore. The ideal candidate will work closely with cross-functional teams to implement data engineering solutions that optimize manufacturing processes and drive innovation.

Key Responsibilities

• Collaborate with various internal teams to identify opportunities for applying data engineering and process monitoring solutions to enhance manufacturing operations.
• Utilize manufacturing data to develop and implement machine learning (ML) models and real-time process monitoring systems.
• Partner with data science teams to develop scalable data engineering solutions for both new and existing facilities.
• Effectively communicate data insights to non-technical stakeholders and promote data-driven decision-making across the organization.
• Ensure the delivery of data engineering, visualization, ML, and AI capabilities, focusing on data integrity, validation, and governance.

Education and Experience

• Bachelor’s or Master’s degree in Process Engineering, Computer Science, or a related technical field, with 3-5 years of relevant industry experience.
• Proficiency in programming languages such as Python, R, and SQL.
• Experience with data historian systems, Manufacturing Execution Systems (MES), and IoT technologies.
• Familiarity with data analytics and libraries like Pandas, NumPy, and Scikit-Learn.
• Knowledge of cloud platforms like Snowflake, AWS, Azure, and experience with no-code/low-code tools.
• Proficiency in developing data visualization platforms (e.g., Power BI, R Shiny, Streamlit).
• Experience with SAP data, particularly in managing transactional and genealogy data.

Soft Skills

• Ability to develop business requirements and communicate effectively with a diverse range of stakeholders.
• Success in a collaborative, fast-paced work environment.
• Strong problem-solving skills and creativity.
• Ability to influence and guide stakeholders towards data-driven decisions.
• Excellent technical writing and storytelling capabilities.