Digital Asset Consultant (AVEVA PI)

YOUR RESPONSIBILITIES About ORISE ORISE is a technology-independent service provider specialized in industrial digitalization for the energy and process industries. Headquartered in Ludwigshafen (Germany), we operate globally with over 1600 experts across 19 countries. With more than 3500 successful projects delivered every year in 70+ offices and 30 countries, we help our clients optimize their operations by unlocking the full potential of real-time data. We’re now expanding our presence in Canada and looking for an Associate Digital Asset Consultant to join our growing Montreal team. Your responsibilities As a Digital Asset Consultant, you will design, implement, and support real-time data solutions that help our clients optimize plant operations. By integrating data from control systems, cloud platforms, and other sources, you will facilitate IT/OT convergence—enabling smarter decision-making and more efficient processes. You will: * Assist in designing and implementing real-time data solutions tailored to client needs * Learn to integrate plant data with MES platforms, cloud environments, and business intelligence tools * Work with time-series data historians such as OSIsoft PI and AspenTech IP21 * Help transform machine data into actionable insights using contextualization techniques * Build dashboards and visualizations using tools like PI Vision and AspenONE Process ExplorerDesign, implement, and maintain real-time data solutions tailored to each client’s needs Your Profile We’re looking for a technically strong and motivated individual who combines engineering expertise with a passion for digital transformation and industrial IT. YOUR PROFILE * Degree in Engineering (Chemical, Electrical, Computer Science, or related field) * 2+ years of experience in a technical or industrial IT role * Strong interest in technology, innovation, and digitalization in the process industry * Basic understanding of data modelling and contextualization * Some programming experience (e.g. Python) Nice to Have * Exposure to OPC protocols or industrial data systems * Familiarity with real-time data systems (e.g., OSIsoft PI, Aspen IP21) is a plus * Experience with self-service analytics tools (e.g. Seeq) is a bonus * Understanding of OPC protocols and data communication standards Soft Skills * Eager to learn and grow in a dynamic environment * Clear communicator and team player * Organized, proactive, and solution-oriented This role represents an existing vacancy within the organization. ATS is in compliance with the Accessibility for Ontarians with Disability Act (AODA), 2005 and will, upon request, assist those who may require specific accommodations due to a personal disability. We would ask that those who require assistance to notify our offices as soon as possible if accommodation is necessary. The ATS applicant tracking system may utilize AI software with pre defined, rule based filters to organize and manage application materials. Rule based filters operate solely on fixed criteria and do not perform autonomous evaluation or generate independent recommendations. All hiring decisions continue to involve human review and judgment.

You will design, implement, and maintain real-time data solutions to optimize plant operations and facilitate IT/OT convergence. This involves integrating data from control systems, cloud platforms, and business intelligence tools to provide actionable insights.

Candidates must hold a degree in Engineering or a related field and possess 2–5 years of experience in a technical or industrial IT role. Strong interest in digital transformation, data modeling, and basic programming skills are required.

• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• OSIsoft PI
• AspenTech IP21
• Python
• Data modeling
• Contextualization
• PI Vision
• AspenONE Process Explorer
• OPC protocols
• Seeq
• Industrial IT
• Digital transformation
• MES platforms
• Cloud environments
• Business intelligence
• Time-series data
• Plant operations

• Technology
• Engineering
• Data & Analytics
• Energy
• Consulting

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine