Data Engineer I: AI-Powered Analytics Pipelines

Docebo Inc.; Toronto; Hybrid; CAD 70,000 - 110,000; Full time

Benefits offered by this job

ESPP 15% discount

Health benefits

Paid vacation days

Docebo Days

Floating holidays

Birthday off

Job summary

Docebo Inc. is seeking a Data Engineer I to design and optimize cloud data pipelines powering analytics, data science, and product teams.

You will tackle architecture challenges and work with world‑class engineers to shape data that informs learning technology at scale. You’ll bring strong data modeling, SQL, and Python skills, with experience in Airflow and cloud data platforms like Snowflake, BigQuery, or Databricks.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• 2–3 years of hands-on data engineering or BI engineering experience.
• Strong SQL skills and ability to query across cloud data platforms.

Responsibilities

• Build and maintain high-performance ELT/ETL pipelines for analytics and product data.
• Orchestrate data jobs using Airflow/Cloud Composer.
• Ensure data quality with tests, validations, and monitoring.
• Collaborate with Analytics and Data Science teams to optimize data structures.

Skills

SQL querying

Python

Airflow

dbt

Data modeling

Education

Bachelor’s degree in CS/Engineering/Math

Tools

Snowflake

BigQuery

Databricks

Job description

Docebo Inc. is seeking a Data Engineer I to design and optimize cloud data pipelines powering analytics, data science, and product teams.

You will tackle architecture challenges and work with world‑class engineers to shape data that informs learning technology at scale. You’ll bring strong data modeling, SQL, and Python skills, with experience in Airflow and cloud data platforms like Snowflake, BigQuery, or Databricks.