Data Engineer I - ImmigrationCafe

Role overview

Docebo is an AI-powered learning platform that helps organizations create, deliver, and manage training at scale. As a Data Engineer I, you will design and maintain the cloud data pipelines that support analytics, data science, and product teams, working directly with intelligent systems that reach millions of users worldwide.

Key responsibilities

Build and implement high-performance ELT/ETL transformations using tools such as dbt, guided by specifications from senior engineers and architects.
Construct, deploy, and maintain data ingestion and transformation jobs using Airflow and Cloud Composer to ensure seamless data flow.
Develop and run comprehensive data quality tests, including row counts, null checks, and reference validations, to maintain dataset integrity.
Monitor system performance through automated alerts and investigate issues to keep pipelines running smoothly, while escalating architectural concerns appropriately.
Manage data schemas and naming conventions across cloud platforms such as Snowflake, BigQuery, or Databricks, implementing enhancements to tables and views.
Write clear documentation for pipelines, schemas, and known limitations to enable safe and efficient work by the broader engineering team.
Collaborate closely with Analytics and Data Science teams to understand their requirements and deliver optimized data structures for their queries.

Requirements

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, BI engineering, or similar project-driven environments.
Strong SQL proficiency, including the ability to write clean queries with joins, filters, and aggregations across cloud data platforms like Snowflake, BigQuery, or Databricks.
Solid foundational understanding of data transformation concepts and familiarity with tools such as dbt and Airflow.
Working knowledge of Python or similar programming languages and experience with Git-based version control workflows.

What makes this role worth considering

This position is based in Milan and operates on a hybrid schedule, with three days per week in the office (Tuesday through Thursday) and flexibility for remote work the remaining days. Docebo offers a comprehensive benefits package that includes competitive compensation, an employee share purchase plan at a 15% discount, health benefits, paid vacation plus birthday time off, meal vouchers, parental leave, and access to employee resource groups and company-wide events.