Microsoft Fabric continues to simplify modern analytics, and the introduction of dbt jobs in Fabric is a major step forward for analytics engineering teams. It brings the full power of dbt (Data Build Tool) directly into the Fabric ecosystem, allowing teams to build, test, and deploy transformations without leaving the platform.
With dbt jobs in Fabric, you can transform data using SQL in a familiar, unified environment, running dbt models directly on top of a Fabric data warehouse or other supported warehouses. There’s no need to install local tooling, manage external orchestration frameworks, or stitch together disconnected services.
Develop and Manage Transformations Entirely in Fabric
One of the key advantages of dbt jobs in Fabric is that all transformation logic lives within Fabric. You can author dbt models, define dependencies between them, and execute dbt tests—all from a single workspace.
This unified approach means you can:
Develop SQL-based transformation logic where your data already lives
Manage dbt projects alongside pipelines, notebooks, and reports
Leverage Fabric’s enterprise-grade security, governance, and access controls
By removing external dependencies, Fabric reduces operational overhead while improving consistency and reliability across environments.
Native Integration with dbt Core
Fabric integrates directly with dbt Core, delivering a seamless onboarding and execution experience. This integration provides several powerful capabilities out of the box:
No-code setup for onboarding and configuration, eliminating complex environment preparation
Native scheduling and monitoring, ensuring dbt workflows run reliably and transparently
Visual insights into dbt runs, tests, and lineage, all accessible within the same Fabric workspace
These capabilities make it easier to observe, troubleshoot, and optimize transformations without switching tools or contexts.
Code-First Development Meets Low-Code Orchestration
dbt jobs in Fabric strike an ideal balance between flexibility and simplicity. Analytics engineers can continue to work in a code-first manner using SQL and dbt best practices, while Fabric handles orchestration, scheduling, and monitoring through a low-code experience.
This combination enables:
Faster collaboration between data engineers, analytics engineers, and BI teams
Easier scaling of transformation workloads across the organization
A consistent, governed approach to analytics development
How To Enable dbt Jobs Preview
To enable dbt jobs preview:
Got to Fabric admin portal
Under Tenant settings, enable the dbt jobs (preview) feature for your organization or specific security groups.
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Final Thoughts
By embedding dbt directly into Microsoft Fabric, organizations can modernize their transformation workflows without increasing complexity. dbt jobs in Fabric provide a streamlined, secure, and scalable way to manage data transformations—bringing analytics engineering closer to the data, the platform, and the business.
For teams already using dbt or those looking to adopt analytics engineering best practices, dbt jobs in Fabric offer a compelling, enterprise-ready solution.