PI Engineer

Job Summary

Serve as a senior engineer in execution systems designing and optimizing AVEVA PI Historian based data solutions that support manufacturing and supply chain operations in a hybrid work model. Collaborate with cross functional teams to deliver reliable real time data enhance operational visibility and drive continuous improvement for global enterprise environments.

Responsibilities

• Develop and maintain the manufacturing data infrastructure including data acquisition and storage


• Design and implement data acquisition strategies to capture real time manufacturing data from various sources including process equipment instruments IOT and control systems such as MES BMS DCS OEM


• Develop and maintain data models templates and calculations within the AVEVA PI system to support manufacturing analytics and reporting


• Collaborate with cross functional teams to define data requirements and implement solutions to address business needs


• Ensure data integrity and consistency by implementing data quality control measures and monitoring data validation processes


• Collaborate within Automation Infra team to manage system upgrades patches and performance optimizations for the AVEVA PI system


• Provide technical support and training to end users on data acquisition tools AVEVA PI system functionalities and data visualization tools


• Stay up to date with industry trends emerging technologies and regulatory requirements related to data engineering and manufacturing systems



• Contribute to continuous improvement initiatives identifying opportunities to enhance data management processes system performance and user experience

Essential Skills

• Extensive experience working with the AVEVA PI system ideally within the pharmaceutical industry


• Understanding of pharmaceutical manufacturing processes including batch processing equipment automation and data acquisition systems


• Proficiency in data engineering concepts data integration and data management best practices


• Ability to multitask manage multiple projects and prioritize tasks in a busy environment

Nice to Have Skills

• Previous experience with data visualization and reporting tools such as Tableau Power BI


• Experience with programming languages such as Python and SQL and scripting is advantageous


• Knowledge of regulatory requirements such as FDA and GMP related to data integrity and computerized systems validation



• Previous experience with data Ops tools such as Ignition Highbyte

Qualifications

• Bachelor degree in engineering computer science or a related field


• Formal training on PI system nice to have