Teamtailor connector

Set up the Teamtailor connector in Kaivo: authentication, configuration, the BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 5 hours ago

Kaivo is a fully managed data platform that syncs your Teamtailor data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your HR data instead of moving it.

What is the Teamtailor connector

Sync your Teamtailor candidates, jobs, and applications into BigQuery with Kaivo to report on recruiting alongside the rest of your data.

CategoryHR
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the Teamtailor connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Teamtailor account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Teamtailor

Authenticate with your API Key.

FieldDescription
API Key

Teamtailor API key for authentication. The API key should have "Admin" scope and "Read" permissions. Create a new API key at Settings → Integrations → API keys.

Tables and columns synced from Teamtailor

The streams and columns for this connector aren't listed automatically yet.

How the Teamtailor sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Teamtailor supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Teamtailor?

It depends on how much history is in your Teamtailor account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Teamtailor's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Teamtailor, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Teamtailor instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Teamtailor connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Teamtailor data

Pipeline funnel

Track applications by stage to measure your hiring funnel and conversion.

Time to hire

Analyse applications to measure time to hire and where candidates stall.

Source effectiveness

Report on where candidates come from to see which channels produce hires.

Job performance

Break hiring down by job and department to monitor open roles and progress.

Use Teamtailor data in your AI and BI tools

Once Teamtailor data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Teamtailor data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Teamtailor connector pricing and plan details.