diff --git a/pipelines/dbt/pipeline.yaml b/pipelines/dbt/pipeline.yaml
new file mode 100644
index 0000000..9fdec7e
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+++ b/pipelines/dbt/pipeline.yaml
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+env:
+  - PYTHON_VERSION=latest
+
+steps:
+  - label: ":package: Install dependencies"
+    commands:
+      - echo "+++ :package: Installing dependencies"
+      - pip install -r requirements.txt
+      - dbt deps
+    key: "deps"
+    plugins: &plugins
+      - docker#v5.9.0:
+          image: "python3-slim-$PYTHON_VERSION"
+
+  - label: ":dbt: sql lint"
+    depends_on: "deps"
+    key: "dbt-sql-lint"
+    commands:
+      - echo "+++ :dbt: Running dbt sql lint"
+      - pip install sqlfluff sqlfluff-templater-dbt
+      - sqlfluff lint --templater dbt
+    plugins:
+      <<: *plugins
+
+  - label: ":dbt: dbt source freshness tests"
+    depends_on: "deps"
+    command: |
+      echo "+++ :dbt: Running dbt source freshness"
+      dbt source freshness --target prod
+    plugins:
+      <<: *plugins
+
+  - label: ":dbt: dbt seed"
+    depends_on: "deps"
+    command: |
+      echo "+++ :dbt: Running dbt seed"
+      dbt seed --target prod
+    plugins:
+      <<: *plugins
+
+  - wait
+
+  - label: ":dbt: dbt run against production db"
+    command: |
+      echo "+++ :dbt: Running dbt job"
+      dbt run --target prod
+    plugins:
+      <<: *plugins
+
+  - wait
+
+  - label: ":dbt: dbt model tests"
+    depends_on: "deps"
+    command: |
+      echo "+++ :dbt: Running dbt model tests"
+      dbt test --target prod
+    plugins:
+      <<: *plugins
\ No newline at end of file
diff --git a/pipelines/dbt/readme.md b/pipelines/dbt/readme.md
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+++ b/pipelines/dbt/readme.md
@@ -0,0 +1,37 @@
+---
+title: DBT
+description: Lint, build and run DBT models
+tags: ["CI", "Python", "DBT", "Data"]
+author: Buildkite
+---
+
+# CI for dbt with Buildkite
+
+This template gives you a continuous integration pipeline that automates your dbt workflow of linting, testing and running your dbt models.
+
+At a glance:
+
+- For DBT projects to lint, seed, run and test in CI
+- Uses Docker on a python image
+
+## How it works
+
+This template:
+
+1. Installs dependencies using pip and dbt deps on a python docker image, saving into a `plugins` variable
+2. Lints SQL using [sqlfluff](https://sqlfluff.com/) and [sqlfluff-templater-dbt](https://pypi.org/project/sqlfluff-templater-dbt/)
+3. Runs DBT source freshness tests
+4. Seeds the DBT project
+5. Runs DBT
+6. Runs DBT model tests
+
+## Next steps
+
+After you select Use template, you’ll:
+
+1. Connect the Git repository with your DBT project.
+2. Ensure the dbt commands match your dbt profiles.
+3. Configure the compute—run locally, on-premises, or in the cloud.
+4. Run the pipeline.
+
+You can then play around with the pipeline settings. For example, run the pipeline locally while you iterate on the definition or set a schedule to trigger a nightly build.