Data Engineer I: Build Scalable Cloud Pipelines

Docebo Inc.; Lombardia; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

ESPP 15% discount

Health benefits

Paid vacation days

Docebo Days

Floating holidays

Birthday off

Meal vouchers

Job summary

Docebo Inc. is seeking a Data Engineer I to build and fine-tune cloud data pipelines powering analytics, data science, and product teams.

You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. You’ll bring deep analytical rigor to data modeling and a strong commitment to data quality, with hands-on experience in ELT/ETL, SQL, Python, and modern data platforms.

Qualifications

• Strong SQL for analytics on cloud platforms.
• Hands-on experience with ELT/ETL pipelines and data quality.
• Proficiency in Python and Git workflows.

Responsibilities

• Engineer high-performance ELT/ETL transformations using dbt and orchestration with Airflow.
• Build and maintain data ingestion/transformation jobs on Airflow/Cloud Composer.
• Write data tests (row counts, nulls, referential integrity) and ensure data quality.

Skills

SQL mastery

ETL/ELT aptitude

Python

Code & version control

Data modeling

Education

Bachelor’s degree in CS/Engineering or equivalent

Tools

Snowflake

BigQuery

Databricks

Job description

Docebo Inc. is seeking a Data Engineer I to build and fine-tune cloud data pipelines powering analytics, data science, and product teams.

You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. You’ll bring deep analytical rigor to data modeling and a strong commitment to data quality, with hands-on experience in ELT/ETL, SQL, Python, and modern data platforms.