Randstad is a global leader in the HR services industry, specializing in recruitment, staffing, and outsourcing solutions across 39 countries. As one of the world's largest HR providers, the company operates at a massive scale, connecting millions of candidates with opportunities in sectors ranging from technology and engineering to healthcare and logistics.

In Spain, Randstad maintains one of the most extensive professional networks in the country, with a presence in nearly every major city. For international professionals, Randstad serves as a primary entry point into the Spanish labor market, offering specialized recruitment services through divisions like Randstad Technologies and Randstad Professionals, which frequently handle roles for multinational clients requiring English or other foreign languages.

Founded in 1960 by Frits Goldschmeding in the Netherlands, Randstad has grown from a small local operation into the world's largest HR service provider. The company expanded into Spain in the 1990s and has since solidified its position through major acquisitions like Vedior.

For international professionals

Operates a vast network of over 200 offices across Spain, providing local support in almost every province.
Features specialized divisions for IT, Engineering, and Life Sciences that are highly relevant for skilled international workers.
Acts as a primary recruiter for many Fortune 500 companies established in Spain.
Provides a wide variety of contract types, including permanent placements and long-term outsourcing projects.

Data architecture - Internship - Curious Talent

Randstad España

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

Job Description

Ready to apply your magic and break barriers with us? Join a global team of curious minds dedicated to creating, improving, and prolonging lives through innovative solutions in Healthcare, Life Science, and Electronics.

Key Responsibilities
- Support the design and implementation of data models, pipelines, and ETL/ELT flows that power reporting, analytics, and AI solutions.

- Assist in the construction and operation of data repositories (e.g., Snowflake) and cloud data processing (AWS services) alongside senior architects and engineers.

- Collaborate with product owners, data engineers, business analysts, and domain users to translate requirements and ensure the correct delivery of solutions.

- Help create and maintain architecture blueprints, standards, data dictionaries, and best practices for the team.

- Support automated CI/CD for data pipelines and integration testing (Azure DevOps / Git / data warehouse automation tools).

- Assist in data quality controls, basic troubleshooting, and third-level support tasks for R&D data systems.

- Contribute to documentation, knowledge sharing, and operational manuals (run-books).

- Familiarity or prior contact with Snowflake and AWS data services (Glue, Lambda, DMS) is required; these are the core of our Data and AI ecosystem.

- Practical or academic knowledge of ETL/ELT concepts and tools such as Informatica (PowerCenter / IICS) and automation tools (e.g., dbt, Coalesce) is a great advantage.

- Understanding of data modeling patterns, data flows, and the end-to-end lifecycle (from ingestion to consumption); experience in data integration testing will be valued.

- Good command of SQL; basic experience in Python is desirable.

- Basic understanding of CI/CD concepts and experience (or interest) in Azure DevOps / Git for deployments and pipelines.

- Fluent English and ability to work in agile, virtual, and cross-functional teams.

A one-year, full-time, paid internship contract is offered.

View original advert (Spanish)

¿Listo para aplicar tu magia y romper barreras con nosotros? Únete a un equipo global de mentes curiosas dedicado a crear, mejorar y prolongar vidas a través de soluciones innovadoras en Healthcare, Life Science y Electronics.

Responsabilidades clave
- Apoyar el diseño e implementación de modelos de datos, pipelines y flujos ETL/ELT que alimenten soluciones de reporting, analítica e IA.

- Asistir en la construcción y operación de repositorios de datos (ej. Snowflake) y procesamiento de datos en la nube (servicios AWS) junto con arquitectos e ingenieros senior.

- Colaborar con propietarios de producto (product owners), ingenieros de datos, analistas de negocio y usuarios de dominio para traducir requisitos y asegurar la entrega correcta de soluciones.

- Ayudar a crear y mantener esquemas de arquitectura (blueprints), estándares, diccionarios de datos y mejores prácticas para el equipo.

- Apoyar el CI/CD automatizado para pipelines de datos y pruebas de integración (Azure DevOps / Git / herramientas de automatización de almacenes de datos).

- Asistir en controles de calidad de datos, resolución de problemas básica y tareas de soporte de tercer nivel para los sistemas de datos de I+D.

- Contribuir a la documentación, el intercambio de conocimientos y los manuales operativos (run-books).

- Se requiere familiaridad o contacto previo con Snowflake y servicios de datos de AWS (Glue, Lambda, DMS); estos son el núcleo de nuestro ecosistema de Datos e IA.

- El conocimiento práctico o académico de conceptos ETL/ELT y herramientas como Informatica (PowerCenter / IICS) y herramientas de automatización (ej. dbt, Coalesce) es una gran ventaja.

- Comprensión de patrones de modelado de datos, flujos de datos y el ciclo de vida de extremo a extremo (desde la ingesta hasta el consumo); se valorará la experiencia en pruebas de integración de datos.

- Buen dominio de SQL; es deseable tener experiencia básica en Python.

- Comprensión básica de conceptos CI/CD y experiencia (o interés) en Azure DevOps / Git para despliegues y pipelines.

- Inglés fluido y capacidad para trabajar en equipos ágiles, virtuales y transversales.

Se ofrece un contrato de prácticas de un año, a jornada completa y remunerado.