Overview
Greystones, Ireland | Posted on 09/04/2025
HorizonControls Group
areseeking a highly skilled and experienced
Lead AVEVA PI System Engineer
(OSIPI)
Engineer with a minimum of 7 years of experience in the pharmaceuticalsector.
The ideal candidate will possess deep expertise in the AVEVA PI Systemand its applications within the pharmaceutical industry.
Role
As the Lead AVEVA PI Engineer, youwill play a critical role in designing, implementing, and maintaining the AVEVAPI infrastructure, data integration, and reporting solutions to supportdata-driven decision-making and operational excellence.
Responsibilities
AVEVAPI Infrastructure Design and Implementation:
Lead the design and implementation of the AVEVA PI(OSI PI) infrastructure, including data collection, historian configuration, data modelling, and interfaces.
Collaborate with cross-functional teams toensure the infrastructure meets the specific needs and requirements of thepharmaceutical manufacturing environment.
DataIntegration and Interface Development:
Develop interfaces and integration solutions to collect data from varioussources within the manufacturing environment, including process equipment,SCADA systems, and laboratory information systems (LIMS).
Implement datamapping, cleansing, and transformation processes to ensure accurate andreliable data storage and retrieval in AVEVA PI.
SystemConfiguration and Administration:
Configure and administer the AVEVA PI System, including the creation andmanagement of tags, data archives, and security settings.
Monitor systemperformance, troubleshoot issues, and optimize system configurations to ensurehigh availability and data integrity.
DataVisualization and Reporting:
Design and develop intuitive and insightful data visualization and reporting solutions using AVEVA PI (OSI PI) tools (e.g., PI Vision, PI ProcessBook).
Collaborate with stakeholders to define key performance indicators (KPIs), develop dashboards, and generate reports to support data-driven decision-making and operational performance monitoring.
SystemIntegration and Collaboration:
Collaborate with IT, automation, and process engineering teams to integrate the AVEVA PI System with other manufacturing systems, such as MES, ERP, and quality management systems.
Ensure seamless data exchange and interoperability betweensystems to enable comprehensive data analysis and reporting.
SystemUpgrades and Maintenance:
Lead system upgrades and patches for the AVEVA PI infrastructure, ensuring minimal disruption to ongoing operations.
Develop and implement preventive maintenance strategies to ensure the stability, reliability, and security of the system.
ProjectManagement:
Manage and oversee AVEVA PI implementation projects, including project scoping, planning, resource allocation, and coordination of activities.
Monitor project timelines, budgets, and deliverables to ensure successful project execution.
Training and Knowledge Transfer:
Provide training and knowledge transfer sessions to end-users and stakeholders on the AVEVA PI System, data visualization tools, and best practices.
Promote user adoption and self-sufficiency in utilizing AVEVA PI (OSI) for data analysis and reporting.
RegulatoryCompliance:
Ensure that the AVEVA PI System and associated processes comply with regulatory requirements, such as FDA guidelines, data integrity, and GMP standards.
Collaborate with quality and compliance teams to develop and enforce validation protocols, documentation practices, and change control processes.
Requirements
Bachelor's
degree in a relevant field (Engineering, Computer Science, or related discipline).
Advanced degrees or certifications related to the AVEVA PI System (OSI PI system) are preferred.
Minimum of 7 years
of experience working with the OSI PI system within the pharmaceutical sector.
Deep understanding of AVEVA PI -architecture, data modeling, and system configuration best practices.
Proficiency in developing interfaces and integrating OSI PI with various data sources and systems (e.g., SCADA, LIMS, MES, ERP).
Expertise in data visualization and reporting tools, such as PI Vision, PI ProcessBook, and Microsoft Power BI.
Strong project management skills, with the ability to lead and coordinate complex projects, manage timelines, and deliverables.
Excellent analytical and problem-solving abilities, with a keen eye for detail.
Ability to analyse complex data sets, identify trends.
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