Data & AI Platform Engineer Intern – Madrid (Hybrid)

Tamarind Intelligence

Madrid

Híbrido

EUR 10.000 - 13.000

Jornada completa

Hace 7 días
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Ventajas ofrecidas por este puesto de trabajo

12-month paid internship
Collaborative and international work环境
Mentorship and development

Descripción de la vacante

Boston Scientific in Madrid offers a 12-month paid internship for a Data & AI Platform Engineer Intern, with a hybrid work model in Madrid, Spain. Start date is October 2026 and the program provides mentorship and international collaboration within a leading MedTech company.

The role focuses on building scalable data pipelines and AI/GenAI applications, working with the Data Platform & MLOps team and collaborating across EMEA.

Formación

  • Bachelor or Master in Data/AI or related field (2025/2026).
  • Hands-on data engineering and AI projects.
  • Proficient in Python and SQL; familiarity with Snowflake/dbt and AWS/Azure.
  • Proficient English and Spanish (C1).

Responsabilidades

  • Contributing to the development and deployment of data pipelines and AI/GenAI solutions on the company's data platform.
  • Building proof-of-concepts (POCs) to explore and validate data and AI use cases, and supporting their transition to production-ready implementations.
  • Supporting the data platform setup by contributing to monitoring capabilities, including building solutions for data quality and data ingestion monitoring.
  • Collaborating closely with data engineers, ML engineers, and business stakeholders to deliver impactful data and AI projects.
  • Partnering with global teams to support the deployment and scaling of solutions.

Conocimientos

Python
SQL
Data pipelines
GenAI concepts

Educación

Bachelor's or Master's in Data/AI

Herramientas

Snowflake
dbt
AWS
Azure

Descripción del empleo

Boston Scientific in Madrid offers a 12-month paid internship for a Data & AI Platform Engineer Intern, with a hybrid work model in Madrid, Spain. Start date is October 2026 and the program provides mentorship and international collaboration within a leading MedTech company.

The role focuses on building scalable data pipelines and AI/GenAI applications, working with the Data Platform & MLOps team and collaborating across EMEA.

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