Mobility ITS Engineer

NTE Mobility Partners; Madrid; Presencial; EUR 42.000 - 66.000; Jornada completa

Descripción de la vacante

Ferrovial Innovation is seeking a junior/mid‑level professional to drive AI‑augmented mobility initiatives and provide mixed technical and analytical leadership across business units and external partners.

The role emphasizes self‑led delivery, collaborative facilitation, and exposure to international secondments. Travel to domestic and international sites may be required.

Formación

• Degree 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 with transport technologies and infrastructure (e.g., C‑ITS, tolling, traffic management, V2X).
• Fluency with mobility data standards and analytics/tooling for integration.

Responsabilidades

• Run hands‑on data analysis, technology assessments, and end‑to‑end prototypes from concept to value.
• Use AI tools as core working practice for development, modelling, and deliverables.
• Build business cases (revenue, cost, risk) to support scoping and prioritisation decisions.
• Scope and coordinate internal and external resources for prototypes or initiatives.
• Provide technical input for ITS/tolling bids and concessions.

Conocimientos

Data analysis

Prototyping

AI tools

Stakeholder management

Cross-team collaboration

Python/SQL

Educación

Engineering/CS degree

Herramientas

Python

LLM APIs

Copilot Studio

Descripción del empleo

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‑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.

RESPONSIBILITIES:

Business Unit Partnership

• 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.

Prototyping & Technical Delivery

• 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 prioritisation decisions.
• Scope and coordinate resources (internal & external) where a prototype/initiative requires 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 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.

QUALIFICATIONS:

Required

• Degree 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, PowerPoint, Outlook, Teams, Copilot).
• Able to engage credibly with stakeholders at manager/director level.

Desirable

• 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 optimisation/logistics.
• Business development, venturing, or financial modelling experience or formal training.
• International professional experience.

What we´re looking for

• 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 synthesize 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.

Other requirements

• Excellent English required; professional Spanish highly desirable.
• Willingness to travel periodically (domestic and international). Valid passport and driving licence (B1).

Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!

Ferrovial is an equal opportunity employer. We treat all job applications equally, regardless of gender, colour, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws.

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