
10,000+ employees
Founded 1967
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
🕒 February 3
🗣️🇪🇸 Spanish Required
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
Founded 1967
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
• Definir el enfoque global de arquitectura de datos dentro del entorno de trabajo del proyecto. • Desarrollar modelos de datos curados alineados con el modelo de información corporativo. • Diseñar el enfoque de integración tras las ingestas iniciales. • Participar en la definición del marco de calidad del dato. • Diseñar la capa de consumo para dar soporte analítico completo a las distintas áreas del negocio. • Colaborar con equipos multidisciplinares en entornos ágiles. • Aplicar buenas prácticas de seguridad, gobierno y gestión del dato en arquitecturas cloud. • Dar soporte técnico y orientación a equipos relacionados con ingeniería y analítica.
• Experiencia en Data Architecture, Data Lakes, Big Data y entornos cloud. • Experiencia demostrada en diseño e implementación de arquitecturas basadas en AWS. • Conocimientos sólidos en servicios AWS: Glue, S3, Kinesis, EC2, Kubernetes, Sagemaker y seguridad en cloud. • Conocimientos en CI/CD con herramientas como OpenShift, CDK, API Gateway, CloudFormation y microservicios. • Experiencia con AWS Lambda utilizando Python o tecnologías similares. • Experiencia en metodologías Agile (Scrum, DevOps o Product Ownership). • Conocimientos en Node.js, APIs, Python y SQL. • Ingles B2.
• Contrato indefinido. • Vale guardería (hasta 600 € b/a). • Ayuda comida (1.200 € b/a). • Formación técnica, en habilidades e idiomas. • Plan de carrera real y adaptado a tu rol.
Apply Now🕒 October 29, 2025
Data Architect at GT Motive designing hybrid data architectures between AWS and Azure for efficient data integration. Collaborating with teams to propose data-driven solutions in a flexible remote environment.
AWS
Azure
Cloud
MongoDB
SQL
🕒 October 12, 2025
Data Engineer role at a leading IT services multinational. Responsible for building scalable data solutions and pipelines in GCP.
Cloud
ETL
Google Cloud Platform
Python
SQL
Tableau
🕒 August 12, 2025
Join Prima’s Engineering team to bridge ML/data science with engineering. Build data products and pipelines for motor insurance growth.
Airflow
Amazon Redshift
Apache
AWS
Cloud
Kafka
NoSQL
Numpy
Open Source
Pandas
Postgres
Python
RDBMS
Scikit-Learn
Spark
SQL
🕒 August 7, 2025
Data Engineer developing Azure and Big Data solutions for a global IT company. Collaborates in a skilled development team with focus on CI/CD and data integrity.
Azure
Kafka
Spark
SQL
SSIS