Data Engineer I

📋 Description

• Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on
• Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs
• Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and
• Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance
• Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake
• Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or
• 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven
• Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data
• Strong foundational understanding of data transformation concepts and comfort navigating tools like
• Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean

🎁 Benefits

• Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15%
• Your Well-Being, Covered: Access to health benefits.
• Rest, Relax, Repeat: Paid vacation days, two company-wide Docebo Days, floating holidays for
• Family First: Coverage for time with your little one(s). (30 Docebian babies joined the family in
• Fuel for Your Day: Receive a meal voucher for every working day.
• Connections That Count: Connect with global communities through Employee Resource Groups (including