HiBob to Amazon S3 integration

Connect HiBob to Amazon S3 and automatically sync your HR & workforce data. Weld extracts data from HiBob, loads it into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.

4.8 on G2
HiBobSource
WeldWeld
Amazon S3Warehouse
Weld · New sync
HiBobSourceHiBobConnected
Tables to sync
  • 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
Amazon S3DestinationAmazon S3Ready
hibob schema
  • 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

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How it works

How to set up HiBob to Amazon S3 in Weld.
In the app, with the API or an agent.

Weld · New HiBob sync
HiBobNew connectionHiBobAuthorised
Connection namehibob
AuthorizeOpens HiBob to grant read access
Use cases

Why sync HiBob to Amazon S3?
Ready for analysis.

Centralizing your HiBob data in Amazon S3 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 Amazon S3 using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring HiBob data into Amazon S3 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 Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every HiBob table, keys intact.

Weld syncs the objects the HiBob connector exposes into Amazon S3, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 10 tables
  • 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
Weld MCP server

Ask your agent.
It queries Amazon S3 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 Amazon S3.

Claude CodeOpus 5
>

How many employee_employment_history rows do we have per employee? Use our HiBob data in Amazon S3.

Reading the HiBob context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.hibob.employee_employment_history
raw.hibob.employee
+ 8 more HiBob tables
●weld·get_reference_schema
⎿employee_employment_history · 125 columns
joins employee on employee_id
●weld·run_query
⎿select j.id, count(*) from {{raw.hibob.employee_employment_history}} e
join {{raw.hibob.employee}} j on e.employee_id = j.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from HiBob data in Amazon S3
>Ask about your HiBob data
Under the hood

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 Amazon S3 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.
FAQ

Common questions.
About HiBob to Amazon S3.

Start syncing HiBob to Amazon S3.

Set up your HiBob data pipeline in minutes. No credit card required. Free for 14 days.

HiBobSource
WeldWeld
Amazon S3Warehouse