Azure Databricks Junior Data Engineer - Remote & Growth

Miratech; Madrid; Presencial; EUR 35.000 - 50.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Relocation program

ForeverRemote work culture

Professional development

Descripción de la vacante

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team in Madrid. You will develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark and Azure Data Factory, contributing to analytics and BI initiatives.

You will work closely with senior engineers to evolve SQL Server-based data environments, optimize transformations with PySpark and SQL, and ensure data quality and scalable performance in a cloud-first

Formación

• 2+ years of data engineering or data warehousing experience.
• Experience with Azure Databricks and PySpark.
• Strong SQL skills, especially with SQL Server.
• Experience building ETL/ELT pipelines with Azure Data Factory.

Responsabilidades

• Support and evolve existing SQL Server data platforms and ETL solutions
• 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
• 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
• Participate in the implementation of modern cloud-based data architectures under guidance from senior team members

Conocimientos

Azure Databricks

PySpark

Spark SQL

SQL

Herramientas

Azure Databricks

PySpark

Spark SQL

Azure Data Factory

Descripción del empleo

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team in Madrid. You will develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark and Azure Data Factory, contributing to analytics and BI initiatives.

You will work closely with senior engineers to evolve SQL Server-based data environments, optimize transformations with PySpark and SQL, and ensure data quality and scalable performance in a cloud-first