Data Engineer

1 Month ago • 3-5 Years • DevOps

Job Summary

Job Description

Pullup Entertainment seeks a Data Engineer to enhance its data engineering team. Responsibilities include building and optimizing data pipelines (ETL/ELT) from diverse sources (in-game, sales, marketing, social media); maintaining the Databricks environment, optimizing jobs, managing clusters, and monitoring the lakehouse; creating data models, ensuring data quality and reliability for game analysts, business analysts, and other teams; exploring new AI/ML approaches (ideally in Databricks) and facilitating their industrialization; and utilizing Azure DevOps and Terraform for deployments. The ideal candidate will have 3-5 years of experience with complex data, proficiency in Spark, Apache Arrow, pandas, Kafka, Delta Format, Iceberg, and Spark-Structured Streaming, and cloud platform experience (Azure preferred).
Must have:
  • 3-5 years Data Engineering experience
  • Spark, Apache Arrow, pandas expertise
  • Kafka, Delta, Iceberg, Spark Streaming knowledge
  • Azure cloud experience (preferred)
  • Data modeling & quality assurance
  • Pipeline (ETL/ELT) build & optimization
  • Databricks mastery
  • English proficiency
Good to have:
  • In-game tracking system (Playfab)
  • MLFlow/ML Engineering
  • Data modeling (Kimball, ER/Merise, Data Vault)
  • CI/CD methodologies (Azure DevOps, Terraform)
Perks:
  • 50% reimbursement for restaurant passes and transport
  • 80% coverage of health insurance
  • Performance-based bonus
  • Young and dynamic environment
  • Telework policy

Job Details

Description de l'offre d'emploi

Le groupe PULLUP ENTERTAINMENT sur les fondements et l’ADN de son entité historique FOCUS ENTERTAINMENT a pour objectif de fédérer l’expertise d’un collectif de talents créatifs mondialement reconnus dans l’édition et de la création de contenus originaux de jeux vidéo, sous une marque puissante et inspirante. 

Dans le cadre de sa forte croissance, PulluP recherche un(e) Data Engineer pour renforcer l’équipe data engineering du groupe. 

Fort(e) d’expériences significatives dans la mise en production opérationnel de data lake ainsi que dans la maintenance quotidienne des pipelines de données : 

  1. Build Projet / Workflow Data : mise en place et optimisation de pipelines de données (ETL/ELT) pour collecter, traiter et analyser des données issues de sources divers (données massives in-game, données de ventes, marketing, réseaux sociaux...). 

 

  1. Maintien en Condition Operationnel : Maitrise de notre environnement Databricks,  modélisation, optimisation des jobs, gestion des clusters, surveillance continue du lakehouse. 

 

  1. Data modeling & Data Quality : création des modèles de données pertinents, en garantissant la qualité et la fiabilité des données, pour que nos Game Analystes, Business analystes et équipes métiers dégagent les meilleurs insights pour leur prise de décision. 

 

  1. Data Engineering Innovation : en partenariat avec les Research Engineer de l’équipe, exploration de nouvelles approches autour de l'IA/Machine Learning (idéalement dans Databricks), pour faire émerger des POC innovants à destination des métiers du Publishing ou des studios du groupe, en facilitant ensuite leur potentielle industrialisation 

 

  1. CI/CD méthodologies : Usage de Azure devops ainsi que de terraform pour déploiements de qualité (Git, Terraform, Infra as Code). 

Pré-requis du poste

Ce que l’on attend de vous:

  • BAC+5 en Informatique, Data ou équivalent. 

  • Entre 3 et 5 ans d'expérience en tant que Data Engineer, avec desréussites significatives sur des problématiques mettant en jeux des données complexes. 

Les compétences nécessaires à la mission :  

  • Maitrise des principaux framework data suivants: Spark, Apache Arrow, pandas, Apache Kafka, Delta Format, Iceberg, Spark-Structured Streaming 

  • Connaissance de l'utilisation et de la configuration d'une ou plusieurs des plateformes cloud. Une expérience Azure avancée sera appréciée. 

  • Maîtrise professionnelle de l’anglais  

Appréciées : 

  • Connaissance d’un système de tracking in-game (Playfab idéalement) 

  • Connaissance MLFlow/ML Engineering 

  • Utilisation de Databricks 

  • Familiarité avec la modélisation des données (Kimball, Entity-relastionship/Merise ou Data Vault) 

Ce qu’on dit de vous : 

  • Un(e) travailleur(euse) organisé(e), capable de gérer plusieurs projets simultanément, avec rigueur et autonomie 

  • Une force de proposition bourrée de curiosité 

  • Un(e) vrai(e) communicant(e), capable d’expliquer des idées complexes avec conviction et enthousiasme 

  • Un(e) vrai(e) teamplayeur(euse) 

  • Un esprit résilient et plastique, capable de s’adapter facilement  

 

Ce que PulluP peut vous offrir : 

  • Type de contrat : CDI 

  • Démarrage : dès que possible 

  • Lieu de travail : Paris 19e, Métro ligne 7 (Corentin Cariou) / RER E (Rosa Parks) / Tramway T3b (Porte de la Villette), avec une charte de télétravail 

  • Prise en charge à 50 % de la Carte pass restaurant et du titre de transport 

  • Prise en charge à 80% de la mutuelle (reste à charge de 16,61 euros) 

  • Participation intéressante  

  • Un environnement jeune et dynamique dans un secteur créatif et rempli de défis 

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About The Company

Focus Entertainment is one of Europe’s leading video game publishers and developers.

Our goal is to offer players worldwide unique experiences. Our editorial policy stands out through innovative ideas which transcend the boundaries of video games. With 20 years of expertise and success we bring talented people and video game creators together, offering high-quality services and publishing expertise.

We support innovative projects, without compromise on quality, investing in projects ranging from the development of a title to total integration of a studio. Our partners join a creator of successful franchises, such as A Plague Tale, Farming Simulator, and SnowRunner, bringing them global standing.

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