Job 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 ResponsibilitiesAssisting 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)