Senior Business Analyst
Toronto, ONRandstad Canada
10+ ansCandidates need 10+ years of progressive business analysis experience with enterprise I&IT initiatives. They also need business case and feasibility study skills, modeling and UML expertise, JAD facilitation experience, and knowledge of public sector methodologies and AODA.
Balsamiq, UML tools, CASE tools, CRM platforms, Document management systems
Cabinet Maker
Richmond Hill, ONRandstad Canada
Candidates need experience in cabinet making or furniture manufacturing, the ability to read technical drawings, and the physical capacity to lift up to 45 kg and work standing, kneeling and crouching. They must supply their own safety equipment and be legally eligible to work full-time in Canada with English proficiency.
Power tools, Woodworking machinery, Blueprints
Mould Maker
Beamsville, ONRandstad Canada
3+ ansCandidates need at least 3 years of hands-on Mould Maker or Tool & Die Maker experience, plus precision machining and custom fabrication background. They should read engineering blueprints, CAD models and GD&T, and know HAAS controls and offline CAM software.
HAAS CNC mills, CNC lathe, Sinker EDM, Solidworks, BobCAM
Field Service Technician | Electro-Mechanical
Mississauga, ONRandstad Canada
5+ ansCandidates need 5+ years of experience troubleshooting automated packaging, food or process machinery, with practical electrical diagnostic and mechanical rebuild skills. A valid Ontario Class G driver's licence with a clean record is required, and a 442A ticket is an asset.
multimeter, PLC, VFD, company van
Info Security Analyst I
Toronto, ONRandstad Canada
1+ ansCandidates need at least 1 year of IT security, IAM or privileged access support experience in an enterprise setting. Working knowledge of Active Directory, UNIX/Linux, Windows and database access controls, plus hands-on SailPoint or ServiceNow experience, is needed.
SailPoint Access Management Hub, ServiceNow, Active Directory, UNIX, Windows
Senior Data Science Developer
Toronto, ONRandstad Canada
Candidates need advanced Python engineering skills, experience with LLMs, RAG and agentic AI, and hands-on Azure AI work. Strong machine learning and statistics foundations, software engineering discipline, Responsible AI knowledge and a relevant degree or equivalent experience are also required.
Python, SQL, Databricks, Power Automate, VS Code, Git