Senior Cloud Data Engineer
1 month ago
We are seeking a seasoned Cloud Data Engineer who can lead our Microsoft Fabric data lake migration and implementation efforts. This role involves overseeing the migration of SQL databases to a cloud-based data lake, ensuring data integrity, accessibility, and performance.
The ideal candidate will have extensive knowledge of Microsoft Fabric's data lake capabilities and a proven track record of successfully migrating databases to the cloud.
In addition to migration expertise, the successful candidate will have experience designing and implementing data sharing, structuring, and access frameworks within a cloud-based environment.
This is a 3-6 month contract role, with the possibility of extension. The position is primarily remote, with occasional office visits.
Key Responsibilities
- Data Migration to Microsoft Fabric: Oversee the migration of SQL databases to Microsoft Fabric Data Lake, ensuring data integrity, accessibility, and performance.
- Design & Strategy for Data Lake: Define and implement a robust strategy for data structuring within the Fabric Data Lake, focusing on best practices in data sharing, table organisation, access, and controls.
- Integration with BI Tools: Ensure that data is effectively integrated with our existing applications, including Qlik (which will remain a primary BI tool) and Power BI.
- Collaboration with Stakeholders: Work closely with internal teams to understand requirements, maintain continuity with existing analytics solutions, and drive adoption of the Fabric platform.
Required Skills & Experience
- Proven Expertise in Cloud Data Migration: Strong experience migrating databases, especially SQL to Microsoft Fabric.
- Microsoft Fabric Knowledge: Familiarity with Microsoft Fabric's data lake capabilities and the ability to structure data in ways that support BI and data governance.
- BI Tool Integration: Demonstrated experience with Qlik and Power BI and the ability to ensure data compatibility with these tools during migration.
- Data Architecture & Strategy Development: Knowledge of best practices in data architecture, with experience designing and implementing data sharing, structuring, and access frameworks.
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