Mobility ITS Engineer

• Global presence, local impact: Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference.
• Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued.
• Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.
• Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.
• Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.
• Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.

• Degree in Engineering, Computer/Data Science, or equivalent quantitative/technical discipline or experience.
• 2+ years working directly with transport technologies and infrastructure - e.g., ITS, tolling systems (open-road/all-electronic tolling, interoperability standards), traffic management systems or C-V2X/V2X connected-vehicle platforms.
• Proven advanced level programming experience, preferably Python, C/C++ or similar
• Practical, hands-on fluency with AI tools beyond consumer chat interfaces - e.g., using LLM APIs or agentic platforms (Anthropic, OpenAI, Copilot Studio) to build structured workflows, using AI-assisted coding for data pipelines or prototypes (Python/SQL preferred), or applying AI to geospatial data/imagery analysis for infra monitoring.
• Fluent in MS Office 365 (Word, Excel, PowerPoint, Outlook, Teams, Copilot).
• Able to engage credibly with stakeholders at manager/director level.
• Excellent English required; professional Spanish highly desirable.
• Willingness to travel periodically (domestic and international). Valid passport and driving licence.(B1).
• Technically & commercially grounded: genuine curiosity about how data/tech/AI is reshaping mobility and able to engage with both technical and commercial dimensions and stakeholders.
• Digitally fluent: you actively seek and utilize digital/AI tools that improve the quality and speed of your outputs.
• Analytical communicator: able to synthesise complexity into clear, structured outputs for varied audiences.
• Dual-mode contributor: equally effective as an independent technical contributor and as a collaborative facilitator.
• Pragmatic and delivery-focused: entrepreneurial mindset with a clear bias toward action and tangible output.

• Knowledge for the design and deployment of communications networks
• Hands-on experience on the usage of development boards (e.g. arduino, raspberry-pi)
• Hardware configuration, management and integration (e.g. cameras, lidars, switches, servers)
• Experience in an innovation, digital, technology, AI, or data-focused role within a corporate or consulting environment.
• Working knowledge of mobility data standards and formats relevant to analytics and system integration.
• Demonstrated interest and working knowledge of connected/autonomous mobility, digital tolling, or mobility analytics; able to speak to eco-system, technologies, and where the sector is heading, not just historical context.
• Track record of project delivery with tangible outputs combining self-led technical work (data analysis, prototyping, modelling) and cross-team collaboration.
• Comfort working across corporate, startup, public sector, or innovation-ecosystem, adapting delivery style accordingly.
• Experience with Earth Observation data (satellite/SAR imagery, platforms like Google Dynamic World or Sentinel Hub) for infrastructure risk, construction monitoring, or asset management use cases.
• Familiarity with Demand Responsive Transport (DRT) systems and/or dynamic/managed-lane management.
• Experience with advanced comms infrastructure (5G, satellite comms) or IoT sensor networks as applied to transport/infrastructure monitoring.
• Exposure to VR/XR for training, simulation, or stakeholder visualization; or early-stage familiarity with quantum computing applications in optimization/logistics.
• Business development, venturing, or financial modelling experience or formal training.
• International professional experience.

Join Ferrovial: Where Innovation Meets Opportunity

The CoE for Mobility & Digital Infrastructure (CoE4M) leads Ferrovial Innovation's work at the intersection of data, technology, and mobility - spanning connected and autonomous transport, digital tolling, mobility platforms, AI-enabled infrastructure, and emerging transport technologies incl. physical and embodied AI. It also provides specific support to Cintra, Ferrovial's concession division providing Intelligent Transport Systems (ITS) and tolling technical support.

This is a mid-level role requiring equal emphasis on self-led technical and analytical delivery and collaborative facilitation across teams, business units, and external partners. The role covers both mobility innovation development and ITS/tolling technical support. Programming and AI-augmented working is the default method, not an afterthought.

This position will report to the ITS Lead or directly to the Head of CoE. From time-to-time, as needed, the role may be assigned to specific projects that require a more complex matrix management structure.

The working place is as per above, but the role may require travelling during short periods of time to other places nationally or internationally. There might also be opportunity/requirement for 2 - 6 month long secondments in other territories, including the US.

• Partner with BU teams to identify innovation opportunities, co-develop initiatives, and support operational adoption.
• Represent CoE4M in workshops, project briefings, and stakeholder outreach, translating BU needs into requirements.
• Coordinate with wider Ferrovial Innovation team to align initiatives and cross-pollinate findings across business lines.
• Brief stakeholders on initiative status/outcomes as needed; represent Ferrovial at external industry events and forums.
• Run hands-on data analysis, technology assessments, and prototypes end-to-end, from concept to proof-of-value.
• Use AI tools/platforms as core working practice for tech dev/integration, modelling and structured deliverables.
• Build business cases (revenue, cost, and risk models) to support scoping and prioritization decisions.
• Scope and coordinate resources (internal & external) where a prototype/initiative requires additional capability.
• Provide technical design input, cost estimates, and budget quotes for ITS and tolling supporting bids and concessions.
• Monitor and synthesize developments in data-driven, automated, and autonomous ITS/Tolling/mobility into insights.
• Evaluate vendors/OEMs/products against defined business priorities; initiate and manage engagement as required.
• Capture knowledge, contacts, and ideas from workshops/events/meetings into written summaries for internal reuse.
• Produce technology briefs, white papers, bid content, and presentation materials from the above intelligence.
• Knowledge Sharing
• Contribute findings and outputs to the Ferrovial Innovation Community, ensuring visibility across business lines.