Remote Data Engineer: Azure Databricks & Lakehouse Pipelines

Miratech; Barcelona; Presencial; EUR 30.000 - 42.000; Jornada completa

Descripción de la vacante

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team. The role involves building and supporting modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory.

You will work on integrating data from multiple sources, maintaining data models for analytics, and collaborating with BI teams to empower Power BI reporting, while learning within a cloud-first data ecosystem.

Formación

• 2+ years of experience in Data Engineering, Data Warehouse development, or a related field.
• Experience with Azure Databricks.
• Experience developing data pipelines using PySpark and Spark SQL.
• Understanding of distributed data processing and big data concepts.
• Good SQL skills and experience with SQL Server relational databases.
• Exposure to data processing and performance optimization concepts.

Responsabilidades

• Support and evolve existing SQL Server data platforms and ETL solutions.
• 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 Server

SQL

Data pipelines

Data Engineering

Herramientas

Power BI

Delta Lake

Lakehouse

Azure Data Factory

Descripción del empleo

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team. The role involves building and supporting modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory.

You will work on integrating data from multiple sources, maintaining data models for analytics, and collaborating with BI teams to empower Power BI reporting, while learning within a cloud-first data ecosystem.