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Open nowPosted 8 days ago

Data Engineer H/F

Lexi / Tailornet3 open roles

Where
Paris, France
Work mode
Hybrid
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Your applicationOpen nowData Engineer H/FLexi / Tailornet · Paris, France

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Lexi / Tailornet postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 8 days ago

Lexi / Tailornet median: 4 days open

The posting

✨ Créé en 2003 et adossé au groupe Smart4engineering depuis 2019, nous accompagnons nos clients dans la conception, la gestion et la sécurisation de leurs infrastructures informatiques, pour les aider à relever les défis structurants d’aujourd’hui et de demain.

🔍 Dans le cadre de projets pour des clients grands comptes, nous recherchons un·e développeur·euse passionné·e et polyvalent·e pour intégrer une équipe agile et contribuer à la conception et au développement de solutions back-end et/ou full‑stack.

Contrat : CDI uniquement

Salaire : 62K-67K

Expérience : 7 ans minimum

Localisation : IDF (Saint-Denis)

Contexte

Nous recherchons un·e Data Engineer Senior afin d’accompagner le pôle Data Services d’un acteur majeur du secteur des transports dans la conception, l’industrialisation et l’évolution de ses solutions data. Vous interviendrez sur des sujets d’architecture, de modélisation, d’optimisation des pipelines et contribuera activement à la stratégie Lakehouse de l’entreprise.

Missions

  • Concevoir, développer et optimiser des pipelines de données à grande échelle.
  • Mettre en œuvre des flux batch, streaming et ingestion via API.
  • Structurer les transformations selon un modèle Médaillon (Bronze / Silver / Gold).
  • Développer et industrialiser les pipelines via DBT, Spark et Iceberg.
  • Contribuer à l’évolution de l’architecture Lakehouse.

Livrables attendus

  • Déployer et maintenir les pipelines dans un environnement cloud (AWS ou équivalent).
  • Orchestrer les workflows ETL/ELT via Airflow.
  • Mettre en œuvre l’Infrastructure as Code (Terraform).
  • Exécuter les traitements dans des environnements conteneurisés (Docker, Kubernetes).
  • Garantir la disponibilité, la supervision et l’observabilité des traitements.
  • Participer à la gestion des incidents et à l’amélioration continue.
  • Définir et mettre en œuvre les règles de qualité des données (tests, validation, contrôles automatisés).
  • Documenter les architectures, pipelines et règles métier.
  • Garantir la conformité des flux, notamment dans le cadre RGPD.

Compétences requises

  • 8 années minimum d’expérience en Data Engineering.
  • Maîtrise avancée des architectures Big Data et Lakehouse.
  • Expertise réelle sur Spark, DBT, Iceberg, AWS et Terraform.
  • Maîtrise des services AWS (Glue, EMR, S3, ...).
  • Connaissance de Trino/Starburst, Datadog.
  • Forte capacité d’analyse et de compréhension des enjeux métiers.
  • Rigueur, autonomie et culture de l’amélioration continue.

Compétences indispensables

  • DBT
  • Iceberg
  • AWS (Glue, EMR, S3, ...)
  • Python
  • Spark
  • Modélisation Médaillon.

Ce que nous mettons à votre disposition

  • 💼 Environnement de travail accueillant et stimulant
  • 🤝 Référencements clients grands comptes dans des secteurs variés
  • 📈 Entreprise en croissance : parcours de carrières évolutifs et missions à forte valeur ajoutée
  • 🍽️ Carte ticket restaurant pour vos repas
  • 🚇 50 % du titre de transport remboursé
  • 🩺 Mutuelle et prévoyance santé
  • 🌍Environnement à dimension internationale

📩 Intéressé·e ? N’hésitez pas à postuler ! Nous étudierons votre candidature avec attention et bienveillance.

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