Data Engineer I — Hybrid ELT/ETL & Cloud Pipelines

Docebo Inc.

Milano

Ibrido

EUR 42.000 - 62.000

Tempo pieno

9 giorni fa
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Health benefits
Hybrid work model
Paid vacation
Meal voucher

Descrizione del lavoro

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

You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are looking for engineers with 2–3 years of hands-on data engineering or BI experience, strong SQL, data modeling, Python, and Git-based workflows.

Competenze

  • 2–3 years of hands-on data engineering or BI engineering experience.
  • Strong SQL skills and data modeling fundamentals.
  • Experience with cloud data platforms and ETL/ELT tooling.
  • Proficient in Python and Git-based workflows.

Mansioni

  • Build, deploy, and maintain high-performance ELT/ETL pipelines.
  • Collaborate with Analytics and Data Science teams to meet needs.
  • Maintain data quality with tests and validation checks.
  • Shape lakehouse architecture across Snowflake/BigQuery/Databricks.

Conoscenze

SQL mastery
Data modeling
Python
Git & CI/CD
Analytical thinking

Formazione

Bachelor’s degree in CS/Engineering/Math

Strumenti

dbt
Airflow
Snowflake
BigQuery
Databricks

Descrizione del lavoro

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

You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are looking for engineers with 2–3 years of hands-on data engineering or BI experience, strong SQL, data modeling, Python, and Git-based workflows.

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