Data Engineer building cloud pipelines for Docebo’s AI-powered learning platform. Supporting analytics, data science, and product teams through reliable ELT/ETL and data quality.
Responsibilities
Build and fine-tune robust cloud data pipelines supporting analytics, data science, and product teams
Implement high-performance ELT/ETL transformations using tools such as dbt
Build, deploy, and maintain data ingestion and transformation jobs using Airflow and Cloud Composer
Write and execute data quality tests, including row counts, null checks, and reference validations
Investigate automated alerts, maintain system performance, and escalate deeper architectural changes when needed
Maintain schemas and naming conventions across Snowflake, BigQuery, or Databricks
Implement table and view enhancements
Document pipelines, schemas, and caveats
Collaborate with Analytics and Data Science teams to understand query needs and deliver optimized data structures
Requirements
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
Exceptional ability to write clean SQL, including joins, filters, and aggregations
Ability to query across cloud data platforms such as Snowflake, BigQuery, or Databricks
Strong foundational understanding of data transformation concepts
Comfort navigating dbt and Airflow under guided supervision
Familiarity with Python or similar languages
Familiarity with Git-based collaborative workflows
Ability to work from the office three days a week, Tuesday through Thursday
Legal authorization to work in Canada without current or future visa sponsorship
Benefits
Employee Share Purchase Plan (ESPP) at a 15% discount
Competitive compensation package
Health benefits
Paid vacation days
Two company-wide Docebo Days
Floating holidays for cultural celebrations
Birthday off
Family coverage offering time off with children
Employee Resource Groups, including PRIDE, DWA, BIDOC, and Green Ambassadors
Company-wide events
Hybrid work flexibility with three office days and flexibility the rest of the week
Discretionary bonus incentive based on individual and company performance
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