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 (PySpark) and SQL.

• Experience with Delta Lake.

• Experience with Azure services:

  • Azure Data Lake Storage (ADLS Gen2),

  • Azure Data Factory

• fluent English (oral and written).

Preferred:

• Experience with CI/CD for data platforms (Azure DevOps, Git).

• Notions of data governance (e.g., Unity Catalog, Purview).

• Sensitivity to safety, quality and regulated environments.

• Experience in international projects or distributed teams.