HiBob to Google BigQuery integration
Connect HiBob to Google BigQuery and automatically sync your HR & workforce data. Weld extracts data from HiBob, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceHiBobConnected- employee343 cols
- employee_employment_history125 cols
- employee_work_history24 cols
- employee_lifecycle_history21 cols
- time_off16 cols
- timeoff_durations7 cols
- Extract
- Load
- Keep in sync
DestinationGoogle BigQueryReady- hibob.employeeSynced
- hibob.employee_employment_historySyncing
- hibob.employee_work_historySynced
- hibob.employee_lifecycle_historySynced
- hibob.time_offSynced
- hibob.timeoff_durationsSynced
- HiBob tables
- 10
- fields, typed
- 558
- relationships kept
- 6
- agent context included
- MCP
Trusted by data and AI teams
How to set up HiBob to Google BigQuery in Weld.
In the app, with the API or an agent.
New connectionHiBobAuthorisedWhy sync HiBob to Google BigQuery?
Ready for analysis.
Centralizing your HiBob data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying HiBob data directly in Google BigQuery using SQL or your preferred BI tool.
Centralized data warehouse
Bring HiBob data into Google BigQuery alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from HiBob to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every HiBob table, keys intact.
Weld syncs the objects the HiBob connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.
- employee
- employee_employment_history
- employee_work_history
- employee_lifecycle_history
- time_off
- timeoff_durations
- employee_employment_history_custom_field
- entity_names
- employee_custom_fields
- employee_payroll_custom_column
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the HiBob context, finds the tables it needs and runs the query in Google BigQuery.
How many employee_employment_history rows do we have per employee? Use our HiBob data in Google BigQuery.
Reading the HiBob context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the HiBob API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If HiBob adds new fields, they're detected and added to the corresponding Google BigQuery tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About HiBob to Google BigQuery.
Start syncing HiBob to Google BigQuery.
Set up your HiBob data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
