Data Engineer I — Build AI-Driven Data Pipelines

Docebo; Milano; Ibrido; EUR 29.000 - 39.000; Tempo pieno

Vantaggi offerti da questo lavoro

ESPP discount

Health benefits

Paid vacation days

Birthday off

Descrizione del lavoro

Docebo is redefining how organizations learn with AI-powered analytics and a scalable data platform. We’re looking for a Data Engineer I to build robust cloud data pipelines, ensure data quality, and collaborate with analytics and data science teams to deliver insights across millions of users worldwide.

You will work in a hybrid setup, shaping the lakehouse architecture and keeping schemas clean as Docebo scales.

Competenze

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
• 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments.
• Strong SQL skills across cloud platforms (Snowflake, BigQuery, Databricks).

Mansioni

• Engineer robust cloud data pipelines powering analytics, data science, and product teams.
• Tackle real-world architecture challenges and collaborate with world-class engineers.
• Maintain data quality through tests and monitoring; shape lakehouse architecture across Snowflake/BigQuery/Databricks.

Conoscenze

SQL mastery

ETL/ELT

Python

Git workflows

Formazione

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field

Strumenti

dbt

Airflow

Snowflake

BigQuery

Databricks

Descrizione del lavoro

Docebo is redefining how organizations learn with AI-powered analytics and a scalable data platform. We’re looking for a Data Engineer I to build robust cloud data pipelines, ensure data quality, and collaborate with analytics and data science teams to deliver insights across millions of users worldwide.

You will work in a hybrid setup, shaping the lakehouse architecture and keeping schemas clean as Docebo scales.