Junior Data Engineer (Azure Databricks)

Overview

Junior Data Engineer specialized in Azure Databricks, supporting a data platform team with data pipelines and Lakehouse-style architectures.

What you'll do

• 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 data platform and analytical layers.
• Collaborate with BI teams to support Power BI and reporting platforms.

What you'll need

• 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.
• Good SQL skills with SQL Server relational databases.
• Experience building data pipelines using Azure Data Factory.
• Understanding of distributed data processing and big data concepts.

Nice to have

• Knowledge of Spark optimization techniques (partitioning, caching, cluster tuning).
• Familiarity with Power BI and Databricks Structured Streaming.
• Experience migrating from traditional ETL to cloud architectures.
• Familiarity with Delta Lake and Lakehouse architectures.

Details

• Location: València, VC, Spain.