Lead Data Engineer f/h

il y a 5 jours


Paris, France Morgan Philips Executive Search Temps plein
Lead Data Engineer (F/H)
 
Notre client est un groupe d’investissement européen de premier plan qui gère des actifs pour le compte de clients institutionnels et de particuliers au travers de ses stratégies de private equity, de dette privée, d’immobiliers et d’infrastructures.
 
 Le Groupe, coté sur Euronext Paris, accompagne près de 600 entreprises, mettant au service de leur développement l’engagement de ses  collaborateurs, son expertise sectorielle, son accès privilégié aux marchés mondiaux via ses bureaux répartis en Europe, en Asie et aux Etats-Unis, ainsi que son approche responsable de la création de valeur fondée sur la croissance.
 
Pour renforcer ses équipes, la direction technique recherche un Lead Data Engineer (f/h).
Le poste est basé à Paris.
 
Rattaché au CTO, vous prenez en charge la conception, la construction et la maintenance des « Data & AI Product » du groupe.
 
Rôles et responsabilités clés
 
• Déployer et opérer les projets et solutions Data & IA en relation avec les différentes parties prenantes (équipes métiers, IT interne / externe, fournisseurs de solutions).
• Structurer les référentiels et les flux d’alimentation & transformation des données dans le respect des standards et des bonnes pratiques.
• Garantir la qualité et la gouvernance des données (Data quality, lineage & Data cataloging) par la mise en place de Dashboard / KPI, d’outils et des instances dédiées entre les parties prenantes.
• Garant des bonnes pratiques de code, de déploiement et qualité des développements.
• Assurer la sécurité et la conformité des données en mettant en œuvre les politiques et les protocoles nécessaires.
• Environnement technique : Snowflake, AWS, Rivery , Dataiku, Bedrock , Azure.ai , GraphDB, PostGreSQL.
 
Profil
• Ingénieur de formation, vous avez une expérience de 3 ans minimum comme Data Engineer. Vous avez une excellente compréhension des bases de données, stockages, système ETL, data pipelines … et une expérience significative dans la conception et la mise en place de référentiels data.
• Connaissance approfondie des architectures modernes Data /IA et des technologies Cloud / SaaS, vous avez idéalement travaillé sur des projets dans un environnement Cloud (GCP / AWS / Azure).
• Une expérience confirmée sur l’intégration, le stockage, l’orchestration de sa transformation et la sécurisation de la donnée dans Snowflake.
• Des compétences avancées en langages de programmation SQL & Python et des bonnes pratiques d'ingénierie logicielle tout au long du cycle de développement (versionning, processus de déploiement CI/CD et tests).
• Vous pratiquez des méthodes de gestion de projet modernes appliquées aux projets Data et avez participé à leur mise en place dans des contextes de transformation et mise en place de référentiels métiers.
• Vous savez accompagner le changement dans des projets à forts enjeux.
• Vous avez déjà travaillé sur des projets d’AI de la mise à disposition des données jusqu’au déploiement des modèles LLM.
• Vous avez un bon niveau d’anglais à l’oral et l’écrit.
 
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