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# DATA ENGINEER

- **Company:** Tecdata Engineering
- **Location:** Madrid, Spain
- **Contract:** Apprenticeship
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Extract Transform Load (ETL), DevOps, Distributed Systems, Github, Python (Programming Language), Machine Learning, Object-Oriented Software Development, SQL Databases, Data Streaming, Google Cloud, GitHub Copilot, Api Design, Terraform, Databricks
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8bfcab2ef32cab32

## About the Role

️ Cloud & Data Engineering

 * Experiencia sólida con Google Cloud Platform (GCP).
 * Computación distribuida y procesamiento de grandes volúmenes de datos.
 * Se valorará experiencia adicional con AWS, Azure y Databricks.
 * Diseño y desarrollo de pipelines de datos con Python.
 * Procesos ETL/ELT, tanto batch como streaming.

️ Bases de datos

 * Experiencia en administración de bases de datos (DBA).
 * Conocimiento de diferentes modelos:
 + Relacionales.
 + Columnares.
 + Documentales.
 + Grafos.
 + Vectoriales.

Desarrollo

 * Dominio de Python y SQL.
 * Experiencia con dbt para transformación y modelado.
 * Elementary para Data Quality.
 * Se valorará Scala, R y Java.
 * Programación orientada a objetos y funcional.
 * Arquitecturas API-first., * Experiencia en IA aplicada.
 * LangGraph para orquestación de agentes.
 * Langfuse para observabilidad de aplicaciones de IA.
 * Experiencia con pipelines y soluciones de datos orientadas a ML/IA.

️ DEVOPS & AUTOMATIZACIÓN

 * Metodologías y prácticas DevOps.
 * Terraform para infraestructura como código.
 * GitHub Actions para CI/CD.
 * GitHub Copilot y desarrollo asistido por IA.
 * Automatización de procesos y despliegues., * Experiencia trabajando en equipos Agile.
 * Se valorará experiencia con Shape Up.
 * Capacidad para trabajar de forma autónoma en equipos multidisciplinares, multiculturales e internacionales.
 * Orientación a producto y mejora continua.
 * Conocimiento de metodologías de aprendizaje validado y experimentación.

## Description

* Desarrollo y puesta en producción de modelos de Machine Learning.


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