Mobility ITS Engineer
N10 FERROVIAL CORPORACIÓN, S.A.U.
ABOUT THE ROLE
This is a junior‑mid level position that requires a balanced focus on technical and analytical delivery as well as collaborative facilitation across teams, business units and external partners. The role covers mobility innovation development and ITS/tolling technical support, with AI‑augmented working as the default method. It reports to the ITS Lead or the Head of CoE and may be assigned to specific projects requiring a complex matrix management structure. The role may involve national or regional travel and short‑term secondments abroad, including the US.
RESPONSIBILITIES
- Business Unit Partnership: Partner with BU teams to identify innovation opportunities, co‑develop initiatives, and support operational adoption.
- Represent CoE4M: Lead workshops, project briefings and stakeholder outreach, translating BU needs into requirements.
- Cross‑team Coordination: Align initiatives with the wider Ferrovial Innovation team and cross‑pollinate findings across business lines.
- Technical Delivery: Run hands‑on data analysis, technology assessments and end‑to‑end prototypes, using AI tools as core working practice.
- Business Case Development: Build revenue, cost and risk models to support scoping and prioritisation decisions.
- Resource Coordination: Scope and coordinate internal and external resources for prototypes or initiatives requiring additional capability.
- ITS/Tolling Technical Support: Provide technical design input, cost estimates and budget quotes for ITS and tolling supporting bids and concessions.
- Market Intelligence & Scouting: Monitor and synthesize developments in data‑driven, automated and autonomous ITS/Tolling/mobility; evaluate vendors/OEMs/products and initiate engagement.
- Knowledge Sharing: Capture knowledge, contacts and ideas from workshops/events into written summaries for internal reuse and produce technology briefs, white papers and presentation materials.
QUALIFICATIONS
- Required degree in Engineering, Computer Science, Data Science, Business or a related quantitative/technical discipline.
- 4+ years’ experience in an innovation, digital, technology, AI or data‑focused role within a corporate or consulting environment.
- 2+ years working directly with transport technologies and infrastructure (e.g. C‑ITS, tolling systems, traffic management systems, C‑V2X/V2X).
- Working knowledge of mobility data standards and formats relevant to analytics and system integration.
- Hands‑on fluency with AI tools beyond consumer chat interfaces, such as LLM APIs or agentic platforms (Anthropic, OpenAI, Copilot Studio); strong Python/SQL experience preferred.
- Demonstrated interest and working knowledge of connected/autonomous mobility, digital tolling and mobility analytics.
- Track record of project delivery with tangible outputs combining self‑led technical work and cross‑team collaboration.
- Comfort working across corporate, startup, public sector and innovation ecosystems.
- Fluent in MS Office 365 (Word, Excel, PowerPoint, Outlook, Teams, Copilot).
- Credible engagement with stakeholders at manager/director level.
- Desirable: Experience with Earth Observation data for infrastructure risk, construction monitoring or asset management; familiarity with Demand Responsive Transport systems, advanced comms infrastructure (5G, satellite), IoT sensor networks; exposure to VR/XR or quantum computing applications in optimisation.
- Business development, venturing or financial modelling experience or formal training is a plus.
- International professional experience.
- Excellent English required; professional Spanish highly desirable.
- Willingness to travel domestically and internationally; valid passport and driving licence (B1).
We – Ferrovial – are an equal opportunity employer. We treat all job applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or any other protected class in accordance with applicable laws.
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