Data Engineer Senior Python / SQL / dbt / Airflow

Ucase Consulting • Python • SQL • Tableau • 16 days ago
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Salary
$45k – $67k per year
Location
Hybrid (France)
Seniority
Senior
Employment
Freelance

First seen by Alion on Oct 8, 2026.

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Ucase Consulting

Ucase Consulting is a French consulting company that places data specialists on client missions. Its vacancies include senior data engineers working with Python, SQL, dbt, Airflow and Databricks, data analysts, data scientists and a business project manager. The company is based in France.
ucase-consulting.com • Analytics & BI Consulting • Data Engineering & Migration Services
Tech stack of Ucase Consulting

Bonjour à tous 😀

Contexte de la mission :

Nous recherchons un Data Engineer capable d'intervenir en autonomie sur l'ensemble du cycle de vie des pipelines de données de notre client!

Missions principales :

  • Concevoir, développer et maintenir des pipelines de données de bout en bout.

  • Assurer l'ingestion, la transformation et la modélisation des données.

  • Développer des traitements en Python / SQL / dbt.

  • Orchestrer les flux de données avec Airflow.

  • Garantir la qualité des données à travers les tests, la documentation et les bonnes pratiques de développement.

  • Participer à l'amélioration continue de la plateforme Data Foundation.

  • Collaborer avec les équipes techniques et métiers dans un environnement international.

Environnement technique :
Python | SQL | dbt | Airflow | Snowflake | GitLab | CI/CD | Tableau

Informations pratiques :

  • Localisation : Île-de-France

  • Démarrage : 19 ou 26 octobre 2026

  • Durée : Mission longue

  • Télétravail : À confirmer

  • Déplacements / astreintes : Aucun

Profil cible : Data Engineer Senior / Data Engineer Python-dbt / Analytics Engineer avec une forte dimension Engineering.

Mots-clés sourcing : Data Engineer, Senior Data Engineer, Python, SQL, dbt, Airflow, Snowflake, Data Foundation, Data Platform, Analytics Engineer.

Profil recherché

Compétences obligatoires :

  • 5 ans d'expérience minimum en Data Engineering.

  • Excellente maîtrise de Python, SQL et dbt.

  • Expérience confirmée sur Airflow.

  • Maîtrise de Git / GitLab et CI/CD.

  • Autonomie sur la conception et la mise en production des pipelines.

  • Bonnes pratiques de développement : Clean Code, tests, documentation.

  • Anglais B2 minimum.

Compétences appréciées :

  • Snowflake.

  • Outils d'ingestion de données.

  • Expérience Data Foundation / Data Platform.

  • Tableau.

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