Mobility Its Engineer

BenefitsGlobal 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.

Job Description

ABOUT THE ROLE
This is a junior/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. 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‑rime, 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 an opportunity/requirement for 2–6 month long secondments in other territories, including the US.
Business Unit PartnershipPartner 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.
Prototyping & Technical DeliveryRun 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 development/integration, modelling and structured deliverables.
Build business cases (revenue, cost, and risk models) to support scoping and prioritisation decisions.
Scope and coordinate resources (internal & external) where a prototype/initiative requires additional capability.
ITS/Tolling Technical SupportProvide technical design input, cost estimates, and budget quotes for ITS and tolling supporting bids and concessions.
Market Intelligence & ScoutingMonitor 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 SharingContribute findings and outputs to the Ferrovial Innovation Community, ensuring visibility across business lines.
QualificationsRequiredDegree in Engineering, Computer Science, Data Science, Business, or equivalent quantitative/technical discipline.4+ years 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 (open‑road/all‑electronic tolling, interoperability standards), traffic management systems or C‑V2X/V2X connected‑vehicle platforms.
Working knowledge of mobility data standards and formats relevant to analytics and system integration.
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.
Demonstrated interest and working knowledge of connected/autonomous mobility, digital tolling, and 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.
Fluent in MS Office 365 (Word, Excel, Power