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
Meal voucher
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




Maintain and enhance lakehouse architectures across Snowflake, BigQuery, or Databricks
Collaborate with Analytics and Data Science to understand query needs and deliver optimized data structures
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
~ Proactive with data issues
~ SQL proficiency (joins, filters, aggregations)
~ Airflow

📌 Data Engineering (Italia)
🏢 Docebo
📍 Italia