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Docebo

SaaS learning platform for corporate training

Data Engineer 1

Data EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$68.6k - CA$91.5k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
  • Two to three years of hands-on experience in data engineering, business intelligence engineering, or equivalent project-driven environments.
  • Exceptional ability to write clean SQL, including joins, filters, and aggregations, and query across cloud data platforms such as Snowflake, BigQuery, or Databricks.
  • A strong foundational understanding of data transformation concepts and comfort using tools such as dbt and Airflow under guided supervision.
  • Familiarity with Python or similar languages and Git-based collaborative workflows.

Responsibilities

  • Implement high-performance ELT/ETL transformations using tools such as dbt based on specifications from senior engineers and architects.
  • 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, to maintain dataset quality.
  • Investigate automated alerts, maintain system performance, and escalate deeper architectural changes when needed.
  • Maintain schemas and naming conventions across Snowflake, BigQuery, or Databricks, and implement table and view enhancements.
  • Create documentation for pipelines, schemas, and caveats so the engineering team can build on the foundation safely.
  • Work with Analytics and Data Science teams to understand query needs and deliver optimized data structures.

About the Company

Docebo

SaaS learning platform for corporate training

Docebo provides a cloud-based learning platform for businesses to train employees and other stakeholders by combining formal, social, and experiential learning. It operates as a Software-as-a-Service (SaaS) product, where clients subscribe to access features like course management, social learning tools, AI-driven recommendations, and analytics. Users enroll and track training, receive personalized learning paths, and measure progress within a scalable interface that supports multiple learning modalities. Compared with typical LMS options, Docebo emphasizes integrating formal, social, and experiential learning in one system and uses artificial intelligence to tailor content and recommendations to each learner and organization. The goal is to help companies improve workforce development by offering accessible, scalable, and personalized learning experiences that boost skills and performance across their teams.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Toronto, Canada
Founded
2005

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