Senior Data Engineer – Snowflake & Azure Pipelines

Ust España & Latam; Ciudad Real; A distancia; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

23 days of Annual Leave plus holidays

Health Care Plan

Flexible Benefits Program

Free access to training platforms

Work-Life Balance - WFH/remote options

Descripción de la vacante

UST is seeking a highly skilled Data Engineer to join our global cloud data platform team. You will design, develop, and optimize scalable data pipelines using Snowflake, dbt, Airflow, Python, and Azure, enabling enterprise‑wide analytics and informed decision making.

Collaborate with architects and engineers to deliver reliable data solutions, implement CI/CD with Docker and Kubernetes, and ensure data quality, governance, and security.

Formación

• 5+ years of experience in Data Engineering roles.
• Minimum 3 years hands-on Snowflake development and administration.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Snowflake and Azure services.
• Build and optimize data transformation frameworks using dbt.
• Develop, manage, and monitor Apache Airflow DAGs for orchestration and scheduling.
• Create reusable Python scripts and automation utilities for data processing.
• Implement CI/CD practices and deployment strategies using Docker and Kubernetes.
• Ensure data quality, governance, security, and performance optimization across data platforms.
• Collaborate with architects, business stakeholders, analysts, and engineering teams to deliver reliable data solutions.
• Troubleshoot production issues and drive continuous improvements in platform reliability and scalability.
• Support cloud‑native architectures and data modernization initiatives.
• Contribute to data governance, security best practices, and operational excellence.

Conocimientos

Data Engineering

Snowflake

dbt

Python

Azure Cloud

Apache Airflow

Docker

Kubernetes

Data Modeling

CI/CD

Analytics

Herramientas

Snowflake

dbt

Apache Airflow

Docker

Kubernetes

Azure Cloud services

Descripción del empleo

UST is seeking a highly skilled Data Engineer to join our global cloud data platform team. You will design, develop, and optimize scalable data pipelines using Snowflake, dbt, Airflow, Python, and Azure, enabling enterprise‑wide analytics and informed decision making.

Collaborate with architects and engineers to deliver reliable data solutions, implement CI/CD with Docker and Kubernetes, and ensure data quality, governance, and security.