Ferrovial
About us
Ferrovial es uno de los principales operadores de infraestructuras en el mundo. La compañía cuenta con más de 96.000 empleados en más de 25 países. Operamos a través de cuatro grandes líneas de negocio: Servicios, Construcción, Autopistas y Aeropuertos.
Ferrovial's job offers
Digitalization & Data Analyst (Temporary)
We're looking for a Digitalization & Data Analyst (Temporary) to support the digitalization and data strategy across energy projects by connecting business needs with effective digital solutions.
🎯 Responsibilities
- Provide functional support and user assistance for corporate and technical digital tools used in energy projects.
- Support the deployment, testing, and continuous improvement of digital solutions.
- Ensure proper data collection, structure, quality, and traceability.
- Standardize templates, formats, and best practices (data, reporting, and document management).
- Prepare basic reports and analyses for project and digitalization follow-up.
- Document processes, user guides, and internal procedures.
- Collaborate with engineering, project, and technical teams to understand business needs and translate them into digital solutions.
- Support senior team members in operational and follow-up activities related to digitalization initiatives.
🛠️ Requirements
- University degree in Engineering (Industrial, Energy, Civil, Architecture or similar), Business Administration, or related fields with a strong interest in digitalization and processes.
- Intermediate to advanced Excel skills.
- Knowledge of Microsoft 365 environment (Teams, SharePoint).
- High level of English (C1).
- 2–3 years of experience.
Office
Madrid, Spain
Reporting & AnalysisMicrosoft ExcelData ManagementData AnalyticsData Analysis
Senior Cloud Infrastructure Architect
We're looking for an experienced Senior Cloud Infrastructure Architect to drive the technical vision for cloud-native and AI-powered enterprise infrastructure.
🎯 Responsibilities
- Provide strategic influence for Azure and AWS-based technology solutions to address complex business challenges.
- Collaborate with Cloud teams and leaders to develop long-term cloud strategy and vision.
- Enable implementation and governance of corporate Cloud strategy, ensuring alignment with Well Architected Framework pillars: Security, Cost Optimization, Operational Excellence, Reliability, and Performance Efficiency.
- Guide and govern architecture in partnership with development and architecture teams, sharing expertise, guidelines, and best practices.
- Define standards for networking (hub-spoke, VWAN, ExpressRoute/Direct Connect), identity (Entra ID, SCPs), and governance (Azure Policy, AWS Organizations, guardrails).
- Collaborate with Security, Data, and Networking teams to develop cross-infrastructure models across on-premises, cloud, and edge environments.
- Contribute to AIOps strategy, including intelligent monitoring, anomaly detection, predictive capacity planning, and automated remediation.
- Promote FinOps and AIOps synergies by applying AI-driven cost anomaly detection and rightsizing recommendations across business units.
- Enforce cloud automation standards defined by the Core team, supporting automation-first operations.
- Lead proofs of concept with external partners for new solutions, AI tooling, and infrastructure components.
- Act as a thought leader and collaborator with other teams to foster a DevSecOps and agile culture.
🛠️ Requirements
- Minimum 5 years of experience with large-scale cloud solutions.
- At least 3 years delivering Azure-based Cloud Platforms.
- Hands-on experience designing and governing enterprise Landing Zones and cross-functional cloud infrastructure across multiple accounts or subscriptions.
- Experience implementing AIOps practices such as AI-driven monitoring, automated remediation, and predictive operations.
- Strong background in cloud-native development, Infrastructure as Code (Terraform, Bicep), containers (Kubernetes), and CI/CD pipelines.
- Solid knowledge of cloud networking (hub-spoke, VWAN, ExpressRoute), security best practices (Zero Trust, policy-as-code), and observability platforms.
- Familiarity with AI/ML cloud services (Azure OpenAI, AWS Bedrock, SageMaker) and MLOps workflows.
- Excellent communication skills for both technical and executive audiences.
- Strong project management, stakeholder engagement, and technology partner management skills.
- Mentoring and advisory abilities to support cloud engineers and architects.
- High level of English required.
Office
Madrid, Spain
TerraformKubernetesCloud InfrastructureAzureAWS
Location
Calle del Príncipe de Vergara, 135, Madrid, Spain