Data

dbt Implementation

Transform Your Data Like Software — Version-Controlled and Tested

What we do

dbt (data build tool) has become the standard for data transformation in modern data stacks. It brings software engineering practices — version control, testing, documentation, and CI/CD — to SQL-based transformations. We implement and scale dbt projects on your Azure data platform.

Ideal for

Data teams who want to replace brittle stored procedures and SSIS packages with version-controlled, testable SQL transformations

Common applications

dbt Core or Cloud Setup

Configure dbt Core on Azure Databricks or Synapse, or set up dbt Cloud with Scheduler for managed transformation workflows.

Model Migration from Legacy ETL

Rewrite SSIS packages, stored procedures, or Python scripts as tested, documented dbt SQL models.

Semantic Layer Implementation

Define metrics, dimensions, and business logic once in dbt — consumed consistently by Power BI, Tableau, and notebooks.

Data Quality Testing

Implement dbt tests (not-null, unique, referential integrity, custom) run on every transformation — failing deployments catch regressions early.

Documentation Automation

Auto-generate a data catalogue with column descriptions, model lineage, and test coverage from dbt docs.

dbt at Scale — Performance Tuning

Optimise dbt model materialisation strategies (incremental, materialised view), parallel execution, and CI test scoping.

How we work

01

Stack Assessment

Review your current transformation logic, data platform, and team SQL skills to design the optimal dbt approach.

02

Project Setup

Configure the dbt project structure, profiles, Git integration, and CI/CD pipeline with automated testing.

03

Model Development

Build staging, intermediate, and mart layers. Migrate existing transformation logic. Add tests and descriptions.

04

Handover & Enablement

Train your data team on the dbt workflow, PR-based reviews, and how to extend the project independently.

What you receive

  • dbt project set up on your data platform with Git integration
  • Staging, intermediate, and mart models for agreed data domains
  • dbt tests with coverage report
  • Auto-generated documentation site
  • CI/CD pipeline running tests on every PR
  • Source code ownership and team training

Ready to get started?

Let's discuss your requirements. No commitment, no sales pitch — just a focused conversation about your situation.

Book a free discovery call