Digital Asset Consultant (AVEVA PI) (m/f/d)

Job summary

Design, implement, and support real-time data solutions that integrate plant data from control systems, cloud platforms, MES systems, and other sources. Use data contextualization and visualization tools to turn machine data into actionable insights that improve plant operations and decision-making.

Job details

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. The Role: Associate Digital Asset Consultant 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. Requirements: Degree in Engineering (Chemical, Electrical, Computer Science, or related field) 2–5 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.

What you’ll do

Design, implement, and support real-time data solutions that integrate plant data from control systems, cloud platforms, MES systems, and other sources. Use data contextualization and visualization tools to turn machine data into actionable insights that improve plant operations and decision-making.

Requirements

A degree in engineering, computer science, or a related field and 2–5 years of experience in a technical or industrial IT role are required. Candidates should have an interest in industrial digitalization, a basic understanding of data modeling and contextualization, and some programming experience; familiarity with industrial data systems and OPC protocols is an advantage.

Listed skills

• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Real-Time Data Solutions
• Industrial Digitalization
• IT/OT Convergence
• Data Integration
• Data Modeling
• Data Contextualization
• Python
• OSIsoft PI
• AspenTech IP21
• PI Vision
• AspenONE Process Explorer
• MES Integration
• Cloud Platforms
• Business Intelligence
• OPC Protocols
• Self-Service Analytics

Job areas

• Engineering
• Technology
• Energy
• Manufacturing
• Consulting