Azure Data Engineer - Madrid (Full Time)
Exclusive Networks is looking for an experienced Azure Data Engineer to join our General IT team. The role focuses on building and maintaining data platforms within the Data & Analytics domain, designing robust, scalable data pipelines and architectures that support business requirements.
Responsibilities
- Data Platform Development – Design, develop, and maintain scalable, efficient data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Implement data ingestion, transformation, and integration workflows from multiple data sources.
- Data Modeling and Architecture – Create and manage data models for structured and unstructured data, build and optimize storage solutions using Azure SQL Database and Data Lake. Design and implement scalable architectures to support real‑time and batch processing.
- Performance Optimization – Monitor and improve the performance of data pipelines and query execution. Optimize costs and resource utilization of Azure services such as Databricks and Synapse.




- Collaboration with Stakeholders – Work closely with data scientists, analysts, business teams and DevOps engineers to understand requirements, deliver data solutions, and deploy services via CI/CD pipelines.
- Troubleshooting and Maintenance – Identify and resolve issues in data pipelines, data quality, and integrations. Perform regular system monitoring, maintenance and updates to ensure high availability.
- Automation and Innovation – Automate repetitive tasks using Azure Functions and Logic Apps. Stay updated on new Azure tools and recommend innovative solutions.
- Documentation and Reporting – Document data workflows, technical designs and best practices. Provide regular updates and performance reports to stakeholders.

Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology or related field.
- 5+ years of experience as an Azure Data Engineer or Consultant, wit

📌 Azure Data Engineer (España)
🏢 Exclusive Group
📍 España