We are a integral IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.
We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team.
The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments,



also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence.
Design, develop, and maintain data pipelines using Azure Databricks
Build and optimize data transformations using PySpark and SQL in Databricks
Develop ETL/ELT pipelines orchestrated through Azure Data Factory
Integrate data from multiple sources into the data platform and analytical layers
Design and maintain data models and data warehouse structures for analytics
Ensure data quality, scalability, and performance of large-scale data processing pipelines
Collaborate with BI teams to support Power BI and reporting platforms
Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required
Contribute to the design of modern cloud-based data architectures
3+ years of experience in Data Engineering or Data Warehouse development
~ Experience with Azure Databricks
~ E

📌 Azure Data Engineer (España)
🏢 Miratech
📍 España