ADP + Bruin

Source

Ingest ADP data into your warehouse with incremental loading, quality checks, and full lineage. Defined in YAML, version-controlled in Git.

For business teams

What you get

People analytics beyond HR tools
Join ADP data with finance and project data. See fully-loaded team cost, hiring ROI, and attrition trends.
Headcount planning with real data
Combine ADP org data with budget and project data. Plan headcount based on actual numbers, not estimates.
Compliance-ready data
Quality checks validate that required fields are present, records are consistent, and org hierarchy is valid.
Faster reporting cycles
ADP data syncs automatically. HR and finance get fresh data without waiting for someone to pull a report.

For data & engineering teams

How it works

Automatic schema handling
Bruin detects ADP schema changes and handles them automatically. No manual migration scripts.
YAML-defined, Git-versioned
Your ADP pipeline is a YAML file. Review in PRs, deploy with CI/CD, roll back with git revert.
Hierarchy validation
Custom SQL checks validate manager-employee relationships and catch orphaned records in ADP org data.
Incremental sync
Only sync new and changed ADP records. Full org structure stays in sync without re-processing everything.

Before you start

API credentials from ADP developer portal

Admin access to ADP Workforce Now

Step 1

Add your ADP connection

Connect using OAuth client credentials. Add this to your Bruin environment file — credentials are stored securely and referenced by name in your pipeline YAML.

Parameters

client_idADP API client ID
client_secretADP API client secret

connections:
  adp:
    type: adp
    uri: "adp://?client_id=<id>&client_secret=<secret>"

Step 2

Create your pipeline

Define a YAML asset that tells Bruin what to pull from ADP and where to land it. This file lives in your Git repo — reviewable, version-controlled, and deployable with CI/CD.

Available tables

workerspay_statementspositionsdepartmentsorg_units

name: raw.adp_workers
type: ingestr

parameters:
  source_connection: adp
  source_table: 'workers'
  destination: bigquery

Step 3

Add quality checks

Add column-level and custom SQL checks to your ADP data. If a check fails, the pipeline stops — bad data never reaches downstream models or dashboards.

Validate manager-employee hierarchy is valid

Catch employees with null departments

Ensure employee IDs are unique across syncs

columns:
  - name: employee_id
    checks:
      - name: not_null
      - name: unique
  - name: status
    checks:
      - name: accepted_values
        value: ['active', 'inactive', 'terminated', 'on_leave']

custom_checks:
  - name: valid manager hierarchy
    query: |
      SELECT COUNT(*) = 0
      FROM raw.adp_workers
      WHERE manager_id IS NOT NULL
        AND manager_id NOT IN (SELECT employee_id FROM raw.adp_workers)

Step 4

Run it

One command. Bruin connects to ADP, pulls data incrementally, runs your quality checks, and lands clean data in your warehouse. If a check fails, the pipeline stops — bad data never reaches downstream.

Backfill historical data with --start-date

Schedule with cron or trigger from CI/CD

Full lineage from ADP to your dashboards

$ bruin run .

Running pipeline...

  adp_workers
    ✓ Fetched 2,847 new records
    ✓ Quality: campaign_id not_null     PASSED
    ✓ Quality: spend not_null           PASSED
    ✓ Quality: no negative ad spend     PASSED
    ✓ Loaded into bigquery

  Completed in 12s

Other HR & Recruiting integrations

Ashby

BambooHR

Bullhorn

Deel

Greenhouse

Gusto

Ready to connect ADP?

Start for free, or book a demo to see how Bruin handles ingestion, quality, lineage, and scheduling for your entire data stack.

Book a demo Read the docs