Data Engineer I

The role

You will build and fine-tune cloud data pipelines to power analytics, data science, and product teams. You will implement ELT/ETL transformations, orchestrate data jobs, and maintain lakehouse architecture.

What you will do

• Implement high-performance ELT/ETL transformations using tools like dbt
• Build, deploy, and maintain data ingestion and transformation jobs using Airflow and Cloud Composer
• Write and execute data tests including row counts, null checks, and reference validations
• Investigate automated alerts and ensure system performance
• Maintain schemas and naming conventions across Snowflake, BigQuery, or Databricks
• Implement table and view enhancements
• Create documentation for pipelines, schemas, and caveats
• Work with Analytics and Data Science teams to deliver optimized data structures

Required qualifications

• 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 (joins, filters, aggregations)
• Ability to query across cloud data platforms like Snowflake, BigQuery, or Databricks
• Strong foundational understanding of data transformation concepts
• Comfort navigating tools like dbt and Airflow under guided supervision
• Familiarity with Python (or similar languages)
• Familiarity with Git-based collaborative workflows

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 for time with little ones
• Access to Employee Resource Groups

About the company

Docebo is an AI-powered learning platform that helps organizations create, deliver, and manage training. The company has achieved two IPOs and has over 900 employees globally.