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# Data Engineer (Snowflake/Azure) - Remote

- **Company:** UST
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Microsoft Azure, Cloud Engineering, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Information Engineering, Data Governance, Data Transformation, Data Systems, Data Vault Modeling, Dimensional Modeling, Key Management, Performance Tuning, Role-Based Access Control, Data Streaming, Workflow Management Systems, Data Processing, Scripting, Azure Data Factory, System Availability, Snowflake, Data Build Tool (dbt), Containerization, Kubernetes, Deployment Automation, Real Time Data, Apache Kafka, Data Management, Terraform, Devsecops, Api Management, Serverless Computing, Docker, Databricks
- **Published:** August 4, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=a0123c670a05154f

## About the Role

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

 + Snowflake Development & Administration
 + Data Modeling (Dimensional Modeling and Data Vault concepts)
 + Snowflake Performance Tuning & Optimization
 + Snowflake Security, RBAC, and Data Governance
 * Hands-on experience with dbt (Data Build Tool):
*

 + Reusable transformation models
 + Data quality testing
 + Documentation and best practices
 * Strong experience developing and managing Apache Airflow workflows and DAGs.
 * Advanced Python scripting and development skills.
 * Experience with API integrations and automation frameworks.
 * Solid knowledge of Microsoft Azure services.
 * Experience with:
*

 + Azure Storage
 + Azure Functions
 + Azure Key Vault
 + CI/CD Pipelines
 + Docker Containerization
 + Kubernetes Deployment & Orchestration
 * Experience delivering end-to-end cloud data solutions in Azure environments.
 * Experience working within Agile delivery teams.

Nice to Have:

 * Azure Data Factory
 * Azure Databricks
 * Terraform / Infrastructure as Code (IaC)
 * Snowpark
 * Apache Kafka
 * Azure Event Hubs
 * Streaming and real-time data architectures
 * Exposure to DevSecOps practices
 * Experience in Financial Services or Asset Management environments
 * Cloud-native architecture and modernization projects
 * Strong problem-solving skills and automation mindset

## Description

* 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 governance, security best practices, and operational excellence.


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