Job Description

Description
What are we looking for?
The Electrical Engineering/Computer Co-op will be a member of the Welland Engineering team working closely on machine connectivity, controls, and digital manufacturing (Industry 4.0) initiatives across machining and assembly.
Co-op Term: January-April 2026 (open to 8-12 months)
Essential Responsibilities

• Assisting with the diagnosis, testing, and analysis of electrical components, assemblies, and systems

• Install and maintain electrical control systems, industrial automation systems, and electrical equipment, including control circuits related to UWB and RFID technology

• Compile and maintain records documenting engineering schematics, installed equipment, issues found, resources used, and corrective actions performed
• Build and maintain lightweight Node-RED flows to move machine signals (OPC UA/ EtherNetIP/MQTT) into the machine data collection platform, and expose that data for downstream use
• Assist with implementing simple Machine Data Collection - CMMS integrations for critical machine events and push closure/status back via APIs and Node-RED
• Use SQL/Python/Excel to assemble small ETL scripts, sanity-check datasets
• Collect user requirements and create dashboards for Operations and Management
• Work with industrial technicians and engineers to understand machining processes and ensure data integrity in reporting
• Support Technical Operations department with process executions and change management

• Contributing to process improvement projects, such as Lean and Six Sigma initiatives

Qualifications/Requirements

• In process of completing degree in a related discipline, such as Electrical Engineering/Electrical technologist or Computer Science
• Experience working within a manufacturing or automotive setting would be considered an asset.

Desired Characteristics

• Strong analytical and organizational skills.
• Familiarity with PLC/HMI environments (Allen-Bradley/Siemens/Okuma/Fanuc) and reading ladder/functional diagrams
• Exposure to machine data collection platforms, ERP/MES, and UWB/RFID is preferred
• Knowledge of JavaScript/Node.js (Node-RED a plus) is an asset
• Familiarity with APIs (REST/webhooks) and JSON is an asset
• Comfortable using AI assistants/copilots (effective prompting, validating outputs against source data)
• Proficient with Excel/PowerPoint/Word; SharePoint experience is a plus
• Professional demeanor; customer-service oriented; desire to learn about Maintenance for Manufacturing (MFM)

Skills Required