Data Engineer

The project:

• International project in the financial sector
• Data platform in Azure, with ADF and Databricks as core
• Strong focus on data engineering, governance and quality
• Critical platform in production, with high reliability and stability

Requirements
Responsibilities

• Develop and maintain data pipelines in Azure Databricks (PySpark / Spark SQL).
• Implement and optimize Delta Lake tables (ETL/ELT, medallion architecture).
• Collaborate in the design of analytical datasets.
• Integrate Databricks workloads with Azure Data Factory (orchestration).
• Apply good practices in data performance, quality and reliability.
• Contribute to the evolution of the platform for analytics and AI scenarios.

Requirements

• At least 4 years of experience as a Data Engineer.
• Hands-on experience with Azure Databricks and Apache Spark.
• Good knowledge of Python ...