Rail and transit engineering consultancy for passenger and freight mobility
SYSTRA Canada is a Montreal-based transportation engineering firm whose job posts center on the Alto high-speed rail programme and Ontario LRT work. Its stack pairs Autodesk design tools (Civil 3D, Revit, Navisworks) with a Microsoft Fabric, OneLake and Power BI data layer, and pain points around data interoperability, standardization and governance suggest a push to industrialize project data. Hiring is accelerating and overwhelmingly senior engineering.
SYSTRA Canada is the Canadian arm of the SYSTRA group, providing engineering, consulting and project management for passenger and freight transportation. Its work spans three markets: Canadian urban transit, rolling stock design for passenger cars, wagons and locomotives, and intercity and heavy rail, including freight and mining-resource rail. Service areas include track and infrastructure, signalling and telecommunications, rail operations, electrification, and economic and financial studies. The firm is headquartered in Montreal, Quebec, employs 201–500 people and hires within Canada.
SYSTRA Canada uses Autodesk tools like AutoCAD Civil 3D, Revit, Navisworks Manage and Infraworks, plus Microsoft Fabric, Azure Data Factory and Power BI, Primavera P6, ArcGIS, EPLAN and SAP.
Job posts reference the Alto high-speed rail programme and stations, an LRT project in Ontario, a railway privatization, capacity expansion of existing infrastructure and feasibility studies for a new railway line.
Yes. Hiring is accelerating and concentrated in engineering, weighted toward senior roles, with smaller openings in operations, data and communications, all based in Canada.
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SYSTRA Canada's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.