Data Engineer I

Overview

As a Data Engineer I at Docebo, you build and refine cloud data pipelines that fuel analytics, data science, and product teams. You tackle real-world architecture challenges and partner with top engineers to shape how intelligent learning experiences reach millions. You bring rigor to data modeling and uphold high data quality. This role offers meaningful impact in a fast-growing, AI-driven learning platform.

Retribuzione / Benefits Health benefits

Paid vacation days

Docebo Days

Floating holidays

Birthday off

Meal voucher

Responsabilità Engineer data pipelines and ELT/ETL transformations using dbt guided by senior engineers

Build, deploy, and maintain data ingestion and transformation jobs with Airflow and Cloud Composer

Implement data quality tests (row counts, null checks, reference validations) to ensure clean datasets

Monitor automated alerts and escalate architectural changes when needed

Maintain and enhance lakehouse architectures across Snowflake, BigQuery, or Databricks

Create clear documentation for pipelines, schemas, and caveats for team-wide use

Collaborate with Analytics and Data Science to understand query needs and deliver optimized data structures

Requisiti fondamentali Bachelor’s degree in a related technical field or equivalent practical experience

2-3 years of hands-on data engineering or BI engineering experience

Strong SQL writing across Snowflake, BigQuery, or Databricks

Foundational understanding of ETL/ELT concepts and experience with dbt and Airflow

Proficiency in Python or similar and Git-based workflows

Collaborative mindset

Analytical rigor

Proactive with data issues

SQL proficiency (joins, filters, aggregations)

dbt

Airflow