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# Data Engineer (IA Generativa y Agentes Inteligentes)

- **Company:** NEORIS
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Cloud Computing, Collaborative Software, Distributed Systems, Python (Programming Language), Performance Tuning, DataOps, SQL Databases, Data Streaming, Large Language Models, Generative AI, Data Lakehouse, Databricks, Microservices
- **Published:** June 6, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=ec23cdfd1af63a82

## About the Role

* Experiencia de 4 a 7 años como Data Engineer, Software Engineer o IA Generativa Engineer.
 * Experiencia sólida en Python y SQL.
 * Experiencia en arquitecturas cloud, preferentemente Azure (Data Factory, Databricks, Synapse u otros equivalentes).
 * Conocimiento práctico en desarrollo de agentes inteligentes y/o frameworks como LangGraph, ADK de Google u otros.
 * Experiencia en integración con APIs, microservicios y arquitecturas distribuidas., * Experiencia con modelos de lenguaje (LLMs) y su integración en entornos productivos.
 * Conocimiento en diseño de arquitecturas de datos modernas (data lakehouse, data mesh, etc.).
 * Experiencia en entornos ágiles y herramientas de colaboración.
 * Conocimientos en buenas prácticas de MLOps o DataOps.
 * Experiencia en optimización de rendimiento y escalabilidad de pipelines de datos.

## Description

* Diseñar e implementar pipelines de datos robustos que soporten casos de uso de IA generativa y agentes inteligentes.
 * Desarrollar servicios y arquitecturas de datos para integrar LLMs, copilots y asistentes en procesos de negocio.
 * Construir y mantener soluciones en entornos cloud (principalmente Azure) asegurando escalabilidad y rendimiento.
 * Integrar APIs, microservicios y sistemas distribuidos para habilitar flujos de datos complejos.
 * Colaborar con equipos de Data, IA y desarrollo para optimizar el uso de frameworks de agentes (LangGraph, ADK u otros).
 * Garantizar buenas prácticas en calidad de datos, versionado y despliegue continuo de pipelines.


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