Head of Data Engineering H/F

il y a 3 semaines


IssylesMoulineaux, France NESTLE EXCELLENCE SUPPORTS FRANCE OU NES Temps plein


Aperçu du poste : Poste permanent Lieu : Bureaux de Nestlé en Zone Europe Master dans le domaine de l'ingénierie des données Environ 7 ans d'expérience en ingénierie des données, de préférence avec 2 à 3 ans d'expérience en tant que responsable/gestionnaire.
Résumé du poste : Nestlé Zone Europe recherche un responsable de l'ingénierie des données pour nous aider à développer notre infrastructure afin que nous puissions fournir des informations exploitables dans toute l'entreprise. Les projets actuels et futurs des équipes commerciales englobent le marketing basé sur les données, les ventes basées sur les données, la tarification, la gestion des informations sur les produits, une plateforme de données sur les consommateurs et la durabilité. Le poste relèvera du responsable des données en chef de la Zone Europe.
Une journée dans la vie d'un responsable de l'ingénierie des données : Posséder la pile de données : concevoir, normaliser et optimiser les pipelines et les actifs de données pour le département des données. Assurer la scalabilité, la stabilité et les performances des plateformes. Comprendre les données, l'organisation et le prétraitement nécessaires pour répondre aux besoins croissants de l'entreprise. Superviser notre CI/CD. Travailler en étroite collaboration avec les ressources internes : Global, Zone Europe et Pays (responsables techniques, responsable de l'analyse des données, data scientist, CDO) Superviser les collaborateurs externes (ressources du groupe, consultants) pour mener les projets à terme. Recruter et diriger une équipe d'ingénieurs des données principaux. Gérer un responsable régional de l'ingénierie. Environ 15 ingénieurs des données au sein de l'équipe d'ingénierie dans son ensemble d'ici fin 2024. Communiquer sur les meilleures pratiques et participer activement à la montée en compétences du département. Le poste peut être partiellement en télétravail et offre une certaine flexibilité, mais vous devez vous attendre à passer 20% du temps (mensuellement) au bureau.
Ce qui vous permettra de réussir : Expérience clé : Solide maîtrise de la programmation Python et SQL. Expérience en DataOps / DevOps, construction d'un pipeline CI/CD. Maîtrise d'une pile de données moderne basée sur le cloud. Une expérience dans le déploiement et la maintenance de modèles ML en production est un plus. Connaissance d'Azure, Databricks, DBT, Snowflake, GCP. Une expérience en back-end est également un plus.

Statut : Cadre
Source : PMEjob.fr. #J-18808-Ljbffr
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