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
Hands-on e

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