Personio + Bruin
Ingest Personio 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 Personio data with finance and project data. See fully-loaded team cost, hiring ROI, and attrition trends.
Headcount planning with real data
Combine Personio 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
Personio 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 Personio schema changes and handles them automatically. No manual migration scripts.
YAML-defined, Git-versioned
Your Personio 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 Personio org data.
Incremental sync
Only sync new and changed Personio records. Full org structure stays in sync without re-processing everything.
Before you start
Step 1
Add your Personio connection
Connect using Personio API credentials. Add this to your Bruin environment file — credentials are stored securely and referenced by name in your pipeline YAML.
Parameters
client_idPersonio API client IDclient_secretPersonio API client secret
connections:
personio:
type: personio
uri: "personio://?client_id=<client_id>&client_secret=<client_secret>"Step 2
Create your pipeline
Define a YAML asset that tells Bruin what to pull from Personio and where to land it. This file lives in your Git repo — reviewable, version-controlled, and deployable with CI/CD.
Available tables
name: raw.personio_employees
type: ingestr
parameters:
source_connection: personio
source_table: 'employees'
destination: bigquery
# Syncs employee records, org structure,
# and HR data with automatic schema handling.Step 3
Add quality checks
Validate Personio data on every sync. Catch invalid org hierarchies, missing departments, and orphaned employee records automatically.
columns:
- name: employee_id
checks:
- name: not_null
- name: unique
- name: email
checks:
- name: not_null
- name: department
checks:
- name: not_null
custom_checks:
- name: no employees without manager
query: |
SELECT COUNT(*) = 0
FROM raw.personio_employees
WHERE department IS NOT NULL
AND manager_id IS NULL
AND role != 'CEO'Step 4
Run it
One command. Bruin connects to Personio, 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.
--start-date$ bruin run .Running pipeline...
personio_employees
✓ 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 12sReady to connect Personio?
Start for free, or book a demo to see how Bruin handles ingestion, quality, lineage, and scheduling for your entire data stack.
