Data Intern - AI

Futurae

4d•Hybrid

About The Position

We're building out Futurae's AI function and looking for a Data Engineer Intern to own a high-impact project from day one: bridging the gap between our business data and actionable insights. You will be the primary owner of our HubSpot data integration, ensuring that critical CRM data flows seamlessly into our analytics stack. Concretely, your mission is to automate the ingestion of HubSpot data into BigQuery and expose it via Metabase, giving our teams the reliable, structured data they need to drive company growth. This is a 6-month internship (starting either July or September), suited for someone currently pursuing or recently completing a degree in a technical field.

Requirements

Currently enrolled in or recently completed a degree in Computer Science, Data Engineering, Mathematics, or a related technical field
Good communication skills in English
Solid SQL skills: You can write clean queries to join and aggregate data.
Good Python proficiency with an interest in working with REST APIs
Builder mindset: excited to take a project from zero to one and see it through to completion
Curious & Persistent: You enjoy digging into data to understand how it’s structured and why.

Nice To Haves

Basic familiarity with Google Cloud Platform (BigQuery) or BI tools (Metabase, Tableau, Looker or similar)
Experience with data pipeline tooling (dbt, Airflow, or similar)
Interest in cybersecurity, fintech, or B2B SaaS

Responsibilities

Build a Python-based service to pull data from the HubSpot API
Develop and maintain ingestion pipelines to move data reliably into BigQuery
Transform raw API responses into clean, structured tables following our internal data layers
Connect your datasets to Metabase and build foundational dashboards for internal stakeholders
Write clear technical guides and data dictionaries for the new integrations