Azure DevOps for Data Pipelines
CI/CD and Version Control for Your Entire Data Estate
What we do
Data pipelines, ML models, and infrastructure code deserve the same engineering rigour as application code. We implement Azure DevOps CI/CD pipelines for your ADF, Databricks, dbt, and Synapse assets — automated testing, environment promotion, and full audit trails.
Ideal for
Data engineering teams wanting engineering-grade deployment practices for their pipelines — reducing production incidents and manual releases
Common applications
ADF Pipeline CI/CD
Git-back your Azure Data Factory pipelines with automated ARM template deployment across dev, test, and production environments.
dbt Project Automation
Run dbt build, test, and documentation jobs automatically on every pull request with Azure Pipelines.
Databricks Asset Bundle Deployment
Deploy Databricks notebooks, jobs, and Delta Live Table pipelines using Databricks Asset Bundles and Azure DevOps.
Infrastructure as Code Pipeline
Automate Bicep or Terraform plan/apply with PR-based approvals, drift detection, and manual gates for production changes.
Data Quality Test Gates
Fail deployments when Great Expectations or dbt tests detect schema changes or data quality regressions.
Release Approval Workflows
Implement multi-stage Azure Pipelines with environment-specific approvals — ensuring production changes are reviewed.
How we work
Pipeline Audit
Review your current deployment practices and identify which data assets need CI/CD coverage first.
Repository Structure
Design a Git branching strategy and repository structure for your data assets — mono-repo or multi-repo.
Pipeline Build
Implement Azure Pipelines YAML for each asset type: ADF, dbt, Databricks, IaC. Add automated tests at each stage.
Rollout & Training
Roll out to the team with documentation, runbooks, and training on the new engineering workflow.
What you receive
- Azure Pipelines YAML for all agreed data asset types
- Git repository with agreed branching strategy
- Automated test integration (dbt tests, Great Expectations, or custom)
- Environment promotion workflow with approval gates
- Pipeline dashboard with deployment history and audit trail
- Engineering documentation and source code ownership
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