We are still looking for the very Top Talent...and we would be delighted if you were to join our team
Desplácese hacia abajo para ver todos los requisitos del puesto y las responsabilidades que pueden esperar los candidatos seleccionados.
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.
What we look for?
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.
Key Responsibilities:
- 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.
- Troubleshoot production issues and drive continuous improvements in platform reliability and scalability.
- Support cloud-native architectures and data modernization initiatives.
- Contribute to data

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