Mapfre is a global insurance multinational and the leading insurer in the Spanish market, operating across five continents with a presence in over 40 countries. As a benchmark in the industry, the company provides a comprehensive range of insurance, reinsurance, and financial services, employing over 30,000 people globally and serving millions of customers.

Headquartered in Madrid, Mapfre offers a stable and traditional corporate environment with a strong emphasis on digital transformation. For international professionals, the company is particularly relevant for its growing tech and data hubs in Spain, which focus on Cloud computing, Artificial Intelligence, and Cybersecurity, though a high level of Spanish proficiency is generally expected for most positions.

Founded in 1933 as a mutual insurance company for rural estate owners in Spain, Mapfre expanded throughout the 20th century to become a diversified global financial group. It completed its demutualization process in 2006, leading to its current structure as a listed multinational corporation.

For international professionals

Largest Spanish insurance company with a massive global footprint and headquarters in Madrid.
Offers diverse career paths in technical fields such as Data Science, Cloud Operations, and AI Strategy.
Provides a robust benefits package including private health insurance, life insurance, and pension schemes.
Maintains a strong commitment to internal mobility and long-term professional development for its employees.
While the corporate language is Spanish, its global operations provide a multicultural environment for international hires.

This job was published 4 months ago

Experto/a en Privacidad y Proteccion de Datos e Ia Responsable

Mapfre

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

LOCATION.- MAJADAHONDA - CR. POZUELO DE ALARCON, 50-1

JOB MISSION

To accompany, supervise and provide specialized technical expertise in data engineering, AI and architecture in projects led by the Data & AI area, ensuring that technical solutions meet corporate standards , privacy by design principles, AI regulations , data governance and security and quality requirements .

The role's focus is collaborative : supporting technical teams, identifying risks, anticipating regulatory impacts, and ensuring that technology decisions are aligned with corporate frameworks for privacy, data protection, and responsible AI.

FUNCTIONS

1. Technical supervision of Data & AI solutions (core of the profile)

Review and support the design of end-to-end pipelines (ingestion, transformation, modeling, deployment, monitoring) to ensure compliance with privacy, security and data governance .
Evaluate the suitability of technical solutions implemented by Data Engineering, Architecture and MLOps, providing recommendations.
Ensure that the proposed architectures respect principles of data minimization, segmentation, access control, and traceability.

2. Expert security and privacy support in Data Architecture and Cloud

Analyze and validate reference architectures proposed by Data & IA (AWS, lakehouse, microservices).
Oversee the correct definition of data products, data contracts and metadata from the perspective of data governance and quality.
Review and report on technical risks in Proofs of Concepts, new tools, technology assessments, and design patterns.

3. Support in Advanced Analytics and BI

Review the consistency between analytical models, dashboards and functional needs from the perspective of data quality, suitability and proportionality.
Validate that the analytical solutions meet criteria of transparency, minimization and control of data exposure.

4. Cross-functional coordination and advice with technical areas

To be the technical reference point for the Data & AI area from the perspective of privacy/data protection.
Resolve doubts about regulatory implications in AI solutions, data or architectures.
Ensure the delivery of technical documentation aligned with the requirements of the Privacy and Responsible AI area.

REQUIRED TRAINING AND KNOWLEDGE

MINIMUM KNOWLEDGE OF PRIVACY AND COMPLIANCE

Fundamentals of GDPR, privacy by design and processing records.
Practical knowledge of the AI Act at the level of classification and basic obligations.
Ability to detect regulatory risks in technical decisions.

MAIN TECHNICAL KNOWLEDGE (Core of the profile)

Python, SQL, PySpark.
Spark, Kafka, Hadoop, Snowflake, Redshift, dbt.
AWS: S3, Glue, EMR, IAM, SageMaker, Step Functions.
Airflow, Docker/Kubernetes, CI/CD.
Dimensional modeling, Power BI, ETL/ELT.

COMPETENCIES

Solid technical vision, clear communication with non-technical profiles, risk anticipation, critical thinking, quality orientation and ability to support.

View original advert (Spanish)

UBICACIÓN.- MAJADAHONDA - CR. POZUELO DE ALARCON, 50-1

MISIÓN DEL PUESTO

Acompañar, supervisar y aportar criterio técnico especializado en ingeniería de datos, IA y arquitectura en los proyectos liderados por el área de Data & IA, garantizando que las soluciones técnicas cumplen estándares corporativos, principios de privacidad desde el diseño, normativa IA, gobierno del dato y requisitos de seguridad y calidad.

El enfoque del rol es colaborativo: apoyar a los equipos técnicos, identificar riesgos, anticipar impactos regulatorios y asegurar que las decisiones tecnológicas están alineadas con los marcos corporativos de privacidad, protección del dato e IA responsable.

FUNCIONES

1. Supervisión técnica de soluciones de Data & IA (núcleo del perfil)

Revisar y acompañar el diseño de pipelines end‑to‑end (ingesta, transformación, modelado, despliegue, monitorización) para asegurar cumplimiento de privacidad, seguridad y gobernanza del dato.
Evaluar la idoneidad de soluciones técnicas implementadas por Data Engineering, Arquitectura y MLOps, proporcionando recomendaciones.
Supervisar que las arquitecturas propuestas respetan principios de minimización de datos, segmentación, control de acceso y trazabilidad.

2. Apoyo experto de seguridad y privacidad en Arquitectura de Datos y Cloud

Analizar y validar arquitecturas de referencia propuestas por Data & IA (AWS, lakehouse, microservicios).
Supervisar la correcta definición de data products, data contracts y metadatos desde la perspectiva de gobernanza y calidad del dato.
Revisar e informar sobre riesgos técnicos en PoCs, nuevas herramientas, evaluaciones tecnológicas y patrones de diseño.

3. Acompañamiento en Analítica Avanzada y BI

Revisar la coherencia entre modelos analíticos, dashboards y necesidades funcionales desde la óptica de calidad del dato, adecuación y proporcionalidad.
Validar que las soluciones analíticas cumplen con criterios de transparencia, minimización y control de exposición del dato.

4. Coordinación y asesoría transversal con las áreas técnicas

Ser el punto de referencia técnico para el área Data & IA desde el prisma de privacidad/protección del dato.
Resolver dudas sobre implicaciones regulatorias en soluciones de IA, datos o arquitecturas.
Asegurar la entrega de documentación técnica alineada con requisitos del área de Privacidad e IA Responsable.

FORMACIÓN Y CONOCIMIENTOS REQUERIDOS

CONOCIMIENTO MÍNIMO EN PRIVACIDAD Y CUMPLIMIENTO

Fundamentos de RGPD, privacy by design y registros de tratamiento.
Conocimiento práctico del AI Act a nivel de clasificación y obligaciones básicas.
Capacidad para detectar riesgos regulatorios en decisiones técnicas.

CONOCIMIENTOS TÉCNICOS PRINCIPALES (Core del perfil)

Python, SQL, PySpark.
Spark, Kafka, Hadoop, Snowflake, Redshift, dbt.
AWS: S3, Glue, EMR, IAM, SageMaker, Step Functions.
Airflow, Docker/Kubernetes, CI/CD.
Modelado dimensional, Power BI, ETL/ELT.

COMPETENCIAS

Visión técnica sólida, comunicación clara con perfiles no técnicos, anticipación de riesgos, pensamiento crítico, orientación a calidad y capacidad de acompañamiento.