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# Data & Ml Platform Engineer - Azure

- **Company:** Azure
- **Location:** Pozuelo de Alarcón, Spain
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Bash Shell, Cloud Computing, Continuous Integration, DevOps, Apache Hive, Python (Programming Language), Machine Learning, Role-Based Access Control, Azure Machine Learning, TypeScript, Data Logging, Postman, Azure Data Factory, Snowflake, Pytest, Data Lakes, Pyspark, Kubernetes, Machine Learning Operations, Terraform, Serverless Computing, Docker, Key Vault, Databricks
- **Published:** September 9, 2026
- **Apply:** https://www.recruit.net/job/data-ml-platform-engineer-azure-jobs/0EB5533709650BBE

## About the Role

* Cloud & Orquestación: Azure Data Factory (ADF) avanzado (triggers, parametrización, linked services), Azure Functions (Python/Typescript) y AKS (Kubernetes) para serving.
 * Procesamiento: Databricks (Spark SQL + PySpark), Delta Lake, optimización de jobs (autotermination, cluster policies).
 * MLOps: Azure ML (Model Registry, endpoints, pipelines de entrenamiento/inferencia), tracking de experimentos y versionado de datasets.
 * CI/CD & DevOps: Azure DevOps Repos + Pipelines (multi-stage, approvals).
 * IaC: Terraform para infra reproducible.
 * Observabilidad & Calidad: logging distribuido (App Insights/Log Analytics), monitoring de drift, alertas de fallos e integración de tests (unitarios/contract/e2e) en pipeline (Postman).
 * Seguridad & Cost control: RBAC/Key Vault, secretos, políticas de costes y etiquetado.
 * Lenguajes: Python sólido (packaging, poetry/pip, testing con pytest), bash;
nociones de Docker.

 * Experiencia: 3-5 años totales en data/ML engineering (mín. 3 con Azure), experiencia real llevando modelo.
 * Experiencia con Snowflake.

## Description

Actualmente buscamos un/a ingeniero/a perfil híbrido - Data & ML Platform Engineer - Azure. La persona será el nexo entre datos, modelos y producción para asegurar pipelines de datos, CI/CD, observabilidad, costes y despliegues sobre Azure.


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