Miratech helps visionaries change the world. 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 has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.We are looking for a JuniorData Engineer specialized in Azure Databricksto join our data platform team.The candidate will develop and support modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark,



and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments. The role offers an opportunity to learn and grow within a modern cloud data ecosystem while contributing to analytics and business intelligence initiatives.Key responsibilities:Support and evolve existing SQL Server data platforms and ETL solutionsDevelopand maintain data pipelines using Azure DatabricksBuild and optimize data transformations using PySpark and SQL in DatabricksDevelop ETL/ELT pipelines orchestrated through Azure Data FactoryIntegrate data from multiple sources into the data platform and analytical layersMaintain data models and data warehouse structuresfor analyticsEnsure data quality, scalability, and performance of large-scale data processing pipelinesCollaborate with BI teams to support Power BI and reporting platformsParticipate in the implementation of modern cloud-bas

📌 Junior Data Engineer (Madrid)
🏢 Miratech
📍 Madrid