About the role
Docebo is hiring a Data Engineer I to build and maintain cloud data pipelines supporting analytics, data science, and product teams. The work includes implementing ELT/ETL transformations from specifications provided by senior engineers and architects, orchestrating jobs with Airflow or Cloud Composer, and maintaining schemas in platforms such as Snowflake, BigQuery, or Databricks. The role also covers data quality testing, alert investigation, documentation, and collaboration with analytics and data science colleagues.
Applicants should have a relevant degree or equivalent experience, 2-3 years in data engineering, BI engineering, or project based work, strong SQL, and foundational familiarity with dbt, Airflow, Python, and Git. The team works from the office three days each week, Tuesday through Thursday, with flexibility on the other days.
Highlights
- Build and maintain cloud ELT/ETL pipelines and data ingestion jobs.
- Support analytics, data science, and product teams with trusted datasets.
- Work with Snowflake, BigQuery, or Databricks, plus Airflow or Cloud Composer.
- Hybrid schedule with three office days each week.
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