Talgo designs, manufactures, and maintains high-speed and intercity trains for state-owned rail operators across 11 countries. The tech stack—SAP, GCP, BigQuery, Vertex AI, IoT sensors, and simulation tools (ANSYS)—reflects a manufacturing operation shifting toward data-driven operations and predictive maintenance. Active hiring in engineering and manufacturing alongside projects in supply-chain optimization, IoT integration, and ML model deployment signals ongoing modernization of both production processes and internal cost control.
Notable leadership hires: Team Lead Commissioning, Team Lead Painter, Manufacturing Engineering Lead
Talgo is a public company headquartered in Las Rozas de Madrid, Spain, with over 3,500 employees and manufacturing footprints in Spain, Germany, Denmark, Saudi Arabia, Egypt, Kazakhstan, Uzbekistan, and the United States. The company supplies high-speed and very high-speed trains to major operators including Renfe (Spain), state rail companies in Germany and Denmark, and regional transit authorities. Beyond new-build manufacturing, Talgo offers train maintenance, refurbishment, and fleet management services. Current commercial focus includes the Haramain project in Saudi Arabia and large-scale intercity train deployments in Germany and Denmark.
SAP for enterprise resource planning, Google Cloud (BigQuery, Dataflow, Pub/Sub, Vertex AI) for data and ML workloads, IoT for fleet monitoring, Python for scripting, and ANSYS APDL and Hypermesh for mechanical simulation and design.
Key projects include supply-chain process development, IoT data integration and analytics, AI/ML initiatives on Vertex AI, video surveillance and passenger information systems, procurement tool development, and total-cost-of-ownership analysis.
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