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