Data Engineer

About the Job

We are looking for someone to support the implementation of the new Finance Data Foundation platform by building and migrating semantic models, data pipelines and reporting capabilities that replace the current Azure Analysis Services solution.

Key Responsibilities:

• Build and maintain data pipelines and data models.
• Implement semantic models using Cube.js/Cube Cloud.
• Support migration from Azure Analysis Services.
• Develop solutions using SQL, Python and Databricks.
• Optimize performance and scalability of analytics workloads.
• Collaborate with Finance stakeholders on KPI definitions and reporting requirements.
• Support data quality, governance and metadata initiatives.
• Contribute to architecture and design discussions.