Senior Cloud Data Engineer (Snowflake, Airflow, Azure)

UST España & Latam; España; A distancia; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health care plan

Internet connectivity

Life and accident insurances

Training platforms access

Career development plans

Referral rewards

12 or 14 payments per year

WFH/remote policy

UST Club discounts

Gym discounts

Descripción de la vacante

UST España & Latam is seeking a highly skilled Data Engineer to join our team in Spain. You will design, build, and maintain scalable data pipelines on Snowflake and Azure, leveraging dbt, Airflow, Python, Docker and Kubernetes to deliver robust data solutions.

You will collaborate with architects and business stakeholders, ensure data quality and security, and help drive modernization initiatives in a fast-paced, flexible work environment including remote options.

Formación

• 5+ years in Data Engineering roles.
• Minimum 3 years hands-on Snowflake development/administration.
• Experience with dbt, Airflow, Python.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Snowflake and Azure services.
• Build data transformation frameworks with dbt.
• Develop and monitor Apache Airflow DAGs for orchestration.
• Create Python scripts and automation utilities for data processing.
• Implement CI/CD with Docker and Kubernetes.
• Ensure data quality, governance, security, and performance across data platforms.
• Collaborate with architects, business stakeholders, analysts, and engineering teams to deliver reliable data solutions.
• Troubleshoot production issues and drive platform reliability and scalability.

Conocimientos

Data engineering

Cloud platforms

Python scripting

Automation mindset

Herramientas

Snowflake

dbt

Apache Airflow

Docker

Kubernetes

Azure

Descripción del empleo

UST España & Latam is seeking a highly skilled Data Engineer to join our team in Spain. You will design, build, and maintain scalable data pipelines on Snowflake and Azure, leveraging dbt, Airflow, Python, Docker and Kubernetes to deliver robust data solutions.

You will collaborate with architects and business stakeholders, ensure data quality and security, and help drive modernization initiatives in a fast-paced, flexible work environment including remote options.