Senior Data Engineer

Job description

Reporting to the Head of Data Analytics for Cintra (Spain based) you will :

Strategy

• Be fully aligned with business leaders to understand their challenges and opportunities in terms of data.
  
  
• Identify the business value that a new initiative or feature can potentially bring to the business area.
  
  
• Shape and safeguard the best practices and guidelines defined for Ferrovial's data architecture.
  
  

Data Products Delivery / Evolution

• Propose flexible, scalable, and cost-effective data solutions.
  
  
• Develop optimal and scalable data processing pipelines within an Azure environment, Data Factory and Databricks on your own.
  
  
• Serve as the technical point of reference for toll roads data projects, collaborating on the product roadmap from a technical perspective, coordinating technical decisions with other product teams, and guaranteeing the feasibility, sustainability, and quality of these decisions.
  
  
• Manage a technical team (external parties) to deliver data initiatives following the best practices of Data Engineering and the different platforms and tools.
  
  
• Choose between different technical proposals using your technical criteria.
  
  
• Collaborate with other areas of the company (Cloud, Developer Experience, Security, Architecture, etc.) to build optimal products and solutions.
  
  
• Foster a culture of continuous improvement, where quality, monitoring, and automation are embedded throughout the entire process.
  
  
• Deliver an excellent user experience when consuming data (usability & performance criteria).
  
  
• Apply and or guarantee that security and governance policies are applied, aligned with Ferrovial standards and regulation.
  
  

Quality Supervision & Development Teams Support

• Validate third‑party technical proposals approving or rejecting them as needed.
  
  
• Ensure that agreed standards and working practices are followed.
  
  
• Ensure that development teams reuse visual repositories, certified components, and existing reference architectures to accelerate data platform delivery.
  
  
• Provide expert guidance to delivery teams for complex challenges or business‑critical systems, acting as an internal consultant.
  
  

Operations & Maintenance

• Provide technical expertise and support to dev teams in the diagnosis and resolution of issues.
  
  
• Forecast and control the cost evolution associated to the use of the existing data pipelines.
  
  
• Work on a continuous improvement framework to optimise both the technical solution performance and the cost associated to it.
  
  

Collaboration with the Global Data Strategy

• Promote a data‑driven company.
  
  
• Measure and leverage the value of data in the organization.
  
  
• Take into consideration Ferrovial internal data standards, components and best practices.
  
  
• Promote the standardisation of business data domains in your business area.
  
  
• Contribute to the creation of an enterprise data catalog and data glossary for your data products.
  
  

Innovation

• Keep up to date with new trends, new data services and components.
  
  
• Lead proofs of concept with external partners to test new data services.
  
  

Requirements

• Experience in data architecture within Azure environments.
  
  
• At least 3 years of experience managing data development teams and being a “hands‑on” profile is a MUST.
  
  
• At least 5 years of experience designing and developing data architectures and pipelines (data modelling – logical and physical structure, medallion architecture, governance – data security / privacy).
  
  
• Demonstrated experience working with Databricks, Unity Catalog, Delta Live Tables.
  
  
• Demonstrated experience leading data initiatives that process information on real time or near real time.
  
  
• Passion for teamwork, especially under agile methodologies.
  
  
• Passion for the practical application of technology, particularly within the ecosystem of distributed architectures, data, and Artificial Intelligence.
  
  
• Mindset focused on automation and continuous integration.
  
  
• A continuous learning mentality and enthusiasm for sharing knowledge and experiences with the rest of the team.
  
  
• Orientation towards continuous improvement and a practical approach to software engineering.
  
  
• Ability to manage technical teams.
  
  
• Appreciation for dynamic, fast‑paced, and agile environments.
  
  
• Experience in distributed and cloud‑native architectures and DevSecOps environments.
  
  
• Experience with the following languages: Python.
  
  
• Strong communication and interpersonal skills in both English and Spanish.
  
  
• Knowledge in quality engineering and test automation in CD / CI environments will be positively valued.
  
  
• Knowledge or experience in ML environments with MLOps will be valued.
  
  
• Experience in implementing observability mechanisms, including monitoring business KPIs, will be positively valued.
  
  

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 jobs applications equally, regardless of gender, color, 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.

Required Skill Profession

Bases De Datos, Analítica Y Bi