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Salary
$48k – $71k per year
Location
Hybrid (Courbevoie, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match
Visian is a French data and artificial intelligence consulting firm headquartered in the Tour Europlaza at La Défense in Courbevoie, with teams in Paris and Marseille. Founded in 2016 and part of the Neurones group, it has about 350 consultants working on data strategy, data platforms, governance, AI, MLOps, data mesh, cloud and audit for clients in around ten sectors, and also staffs IT projects in Lille, Montpellier, Nice and Aix-en-Provence. It hires Java and Angular developers, data platform and DevOps engineers, AI engineers, IAM consultants, cybersecurity experts, product owners and senior project managers.

Rejoignez Visian, une société de conseil spécialisée en innovation, design produit, gestion de projet IT et data. En tant que Data Engineer, vous serez rattaché au DSI et serez responsable de la coordination entre les besoins stratégiques des clients et l'excellence technique de nos équipes de développement. Vous aurez un impact direct sur la transformation digitale de nos clients dans le secteur des transports.

Missions

  • Pilotage de projet (A à Z) : Cadrer les besoins, rédiger les spécifications fonctionnelles et techniques, définir les plannings, les budgets et le staffing des équipes.
  • Animation et Leadership : Manager fonctionnellement l'équipe projet (Développeurs, Architectes, Data Engineers) dans un environnement principalement Agile (Scrum / Kanban).
  • Garant de la Delivery : Suivre les KPI, sécuriser les jalons de livraison, anticiper les risques techniques et assurer un contrôle qualité rigoureux avant la mise en production.

Profil recherché

Formation & Expérience

  • Formation : Bac+5 (École d'ingénieurs, Master Informatique / Big Data).

  • Expérience : 3 à 5 ans en Data Engineering ou développement logiciel orienté Data.

Compétences Clés (Hard Skills)

  • Langages & Traitement : Maîtrise de Python, SQL avancé, et idéalement d'un framework Big Data (PySpark, SQL/dbt).

  • Modern Data Stack & Storage : Expérience sur un Data Warehouse (Snowflake, BigQuery, Redshift) et orchestration (Airflow).

  • Cloud & DataOps : Pratique d'un Cloud Provider (AWS, GCP, Azure), de Docker, de Git et des pipelines CI/CD.

Savoir-être (Soft Skills)

  • Rigueur & Pragmatisme : Culture du code propre (Clean Code), du test et du respect de la sensibilité des données.

  • Esprit d'Analyse : Capacité à comprendre les enjeux métiers derrière la donnée brute.

  • Sens du Collectif : Très bonne communication avec les profils dev backend, analystes et métiers.

  • Anglais indispensable

⭐ Les "Plus"

  • Expérience en Streaming (Kafka, Flink).

  • Maîtrise de l'Infrastructure as Code (Terraform).

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