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Salary
≈ $54k – $98k per year (Estimated)
Location
Hybrid (Montrouge, France)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Aug 14, 2026.

Overview
Company
Impact
Profile match
Crédit Agricole is a French cooperative banking group headquartered in Montrouge near Paris, covering retail banking through its regional banks and LCL, corporate and investment banking, insurance, consumer finance and asset management. It is described as the largest cooperative financial institution in the world, and its subsidiaries include Amundi, one of the ten largest asset managers globally, Crédit Agricole CIB, UBAF and the Crédit Agricole Group Infrastructure Platform. The group careers site advertises internships and permanent roles for business account managers, economists, energy and finance analysts, ESG project officers, compliance analysts and mainframe database engineers.

Rejoignez CAL&F, une entreprise du groupe Crédit Agricole, en tant que Tech Lead Data. Vous serez responsable de la conception, de l'évolution et de l'exploitation des plateformes Data et IA, tout en garantissant la robustesse, la sécurité et la performance des environnements techniques. Vous travaillerez au sein de la Data & IA Factory et serez le référent technique de la Data Factory.

Missions

  • Concevoir et faire évoluer les plateformes Data & IA, et accompagner les projets dans leur adoption des services Cloud.
  • Administrer et faire évoluer les plateformes Kubernetes, automatiser les déploiements (CI/CD) et mettre en place les pratiques Infrastructure as Code.
  • Apporter une expertise technique aux squads Data & IA, participer aux choix techniques structurants et contribuer à la résolution des incidents complexes.

Profil recherché

Vous êtes diplômé(e) d’un Master en informatique, d’une école d'Ingénieur en informatique ou un équivalent universitaire. Chez CAL&F, nous recherchons avant tout des compétences. Vous ne disposez pas du diplôme requis mais avez des expériences équivalentes ? N'hésitez pas à postuler !

  • Capacité à vulgariser des sujets techniques complexes.
  • Autonomie.
  • Esprit d'équipe.
  • Orientation solution.
  • Curiosité et veille technologique.

Indispensables

  • Kubernetes (administration et exploitation).
  • Docker / conteneurisation.
  • Git
  • GitLab CI/CD.
  • Terraform ou Infrastructure as Code.
  • Cloud public (GCP idéalement).

Très appréciées

  • Kafka
  • Mongodb
  • Elasticsearch
  • Dataiku
  • Snowflake
  • Dynatrace
  • Keycklock

Architecture & bonnes pratiques

  • Architecture data moderne (Data Lakehouse, Data Mesh, ELT cloud etc.)
  • Performance et optimisation des flux
  • Sécurité, gouvernance et qualité des données
  • Supervision et observabilité (logs, alertes, métriques)
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