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Salary
≈ $43k – $73k per year (Estimated)
Location
Hybrid (France)
Employment
Freelance

First seen by Alion on Sep 30, 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.
Contexte

Dans le cadre du renforcement des équipes R&D d'un grand compte, nous recherchons un(e) Data Engineer pour participer à la structuration, l'ingestion et la valorisation des données métiers et scientifiques.

Vous rejoindrez une équipe dynamique pour concevoir des pipelines de données performants, développer des outils de recherche de bases de données pour les équipes opérationnelles et connecter l'écosystème aux outils d'analyse (SevenBridges).

Début de mission : ASAP
Durée : 1 an
Localisation : Hybride (Télétravail + Présentiel)


Missions
  • Ingestion de données : Mettre en place et maintenir l'ingestion de données publiques et internes (scripts Python sur-mesure, Fivetran, Rclone, etc.).

  • Search Data : Participer au développement d'un outil de recherche et d'exploration de bases de données à destination des équipes métiers.

  • Pipelines de transformation : Concevoir et optimiser les workflows d'orchestration et de transformation de la donnée.

  • Interconnexion d'outils : Assurer la connexion et le flux de données vers les plateformes d'analyse spécialisées (notamment SevenBridges).

Profil recherché

  1. Maîtrise de l'environnement Google Cloud Platform (GCP) (Cloud Run, IAM, BigQuery, GCS)

  2. Solides compétences en Python et SQL

  3. Expérience sur des orchestrateurs de workflows (Argo Workflows, Airflow ou équivalent)

  4. Pratique de l'ingestion de flux de données variées (publiques et internes)

  5. Connaissance de Terraform et dbt (montée en compétences possible)

  6. Appréciés : GKE, CI/CD (GitLab CI)

  7. Appréciés : Streamlit, notions UX/UI

  8. Appréciés : Monitoring et alerting (Grafana)

  9. Appréciés : Gouvernance (Dataplex)

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