Enterprise Data Engineer
A highly skilled Enterprise Data Engineer is required to design and implement data acquisition and ETL processes in Microsoft Azure.
This individual will build and maintain ETL pipelines in Azure Data Factory (or equivalent) to automate ingestion from APIs, files, and vendor systems.
Responsibilities include developing and optimizing SQL stored procedures, scheduled jobs, and views in Azure SQL Database. Additionally, they will apply data governance and quality checks to ensure dataset accuracy and consistency.
* Build and maintain ETL pipelines in Azure Data Factory (or equivalent)
* Develop and optimize SQL stored procedures, scheduled jobs, and views in Azure SQL Database
* Apply data governance and quality checks to ensure dataset accuracy and consistency
* Collaborate with technical staff and SMEs to document sources, transformations, and dependencies
* Support Power BI developers by delivering clean, structured datasets
Requirements:
* Strong experience with Microsoft Azure (Data Factory, SQL Database, Blob/Data Lake)
* Advanced SQL (stored procedures, scheduled jobs, indexing, views)
* Proven ETL development experience (batch + scheduled pipelines)
* Solid understanding of data governance, lineage, and quality frameworks
* Familiarity with Power BI data models (not visualization)
Benefits:
* Opportunity to work on enterprise-scale reporting systems
* Short-term but impactful contract
* Work alongside skilled professionals and contribute to meaningful projects