More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35,000 employees all over the world and presence in more than 35 countries . We are leaders in digital technology services, providing large-scale technological solutions to some of the world's leading organizations.

We are seeking a highly skilled Data Engineer with strong expertise in modern cloud data platforms, data transformation, orchestration, and automation.
The idóneo candidate will have hands-on experience with Snowflake, dbt, Apache Airflow, Python, Azure Cloud , and containerized deployments using Docker and Kubernetes .
You will play a key role in designing, developing, and optimizing scalable data pipelines and analytics platforms that support enterprise-wide data initiatives and business decision-making.

⚙ Design, develop, and maintain scalable data pipelines using Snowflake and Azure services.
Build and optimize robust data transformation frameworks using dbt .
Develop, manage,



and monitor Apache Airflow DAGs for workflow orchestration and scheduling.
Create reusable Python scripts and automation utilities for data processing and integrations.
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.
Support cloud-native architectures and data modernization initiatives.
Contribute to data governance, security best practices, and operational excellence.

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

Snowflake Development & Administration
Data Modeling (Dimensional Modeling and Data Vault concepts)
Snowflake Performance Tuning & Optimization
Snowflake Security, RBAC, and Data Governance

📌 Data Engineer (Valladolid)
🏢 UST España & Latam
📍 Valladolid