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Salary
≈ $46k – $79k per year (Estimated)
Location
Hybrid (Boulogne-Billancourt, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Aug 12, 2026.

Overview
Company
Impact
Profile match
MP Data is a French data and AI consultancy that puts data at the heart of industry, offering data engineering, cloud data, machine learning and MLOps services. It hires data engineers, AI engineers, data scientists, lead architects and business managers in Boulogne-Billancourt, Lille and Balma. The company is headquartered in Boulogne-Billancourt, France.

Rejoignez notre équipe en tant que Data Engineer à Paris. Vous serez responsable de la conception et du développement de solutions de collecte, d'organisation, de stockage et de modélisation des données. Vous travaillerez avec des technologies telles que Spark, Python, et divers fournisseurs de cloud. Une expérience préalable dans le domaine est requise.

Missions

  • Concevoir et développer des solutions Data pour la collecte, l’organisation, le stockage et la modélisation des données.
  • Développer des solutions Spark qui soit industrialisable dans un contexte de production et déployer, exploiter et optimiser l'utilisation des services dans un contexte big data.
  • Assurer l’accès fiable, efficace et sécurisé aux différentes sources de données métier et processus, tout en mettant en place des outils et méthodes de contrôle et de validation de la qualité des données.

Profil recherché

Diplômé(e) ingénieur(e) d’une grande école (Centrale, Mines, Supaero, Supelec, …), vous avez une appétence pour la résolution de problèmes métiers.

Vous êtes reconnu(e) pour votre rigueur, votre excellent relationnel et votre capacité à être force de proposition.

Vous êtes intéressé(e) par l’idée de vous dépasser en Data Engineering et vous disposez d'une première expérience réussi qui vous a permis de valider vos compétences dans la majorité des éléments suivants :

* Python, C/C++ ou Java

* Développement backend (Django / Flask)

* Spark / PySpark

* Kafka ou autre outil event-driven.

* la mise en place et l'exploitation de services Cloud : AWS / GCP / Azure

* Data Platform : Snowflake ou Databricks

* l'orchestration avec Dagster ou Airflow, les pipelines de CICD ou encore la transformation avec DBT

* Tu connais les architectures data et les bonnes pratiques associés (Data Mesh, Gouvernance, Cloud First...)

Échangeons prochainement à propos de vos projets et nos opportunités !

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