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Experienced Data Engineer - Platform

Voodoo

Paris

Sur place

EUR 50 000 - 75 000

Plein temps

Il y a 30+ jours

Résumé du poste

Voodoo, leader du mobile gaming, recherche un Ingénieur en Données pour rejoindre son équipe à Paris. Le candidat participera à la construction de pipelines de données et interagira avec divers départements pour établir des solutions robustes. Offrant un salaire compétitif et des avantages robustes, ce poste est idéal pour les passionnés d'innovation en technologie.

Prestations

Rémunération compétitive selon expérience
Pack de relocalisation complet
Chèques déjeuner Swile
Gymlib entièrement pris en charge
Couverture santé premium
Crèches disponibles
Activités de bien-être
Politique de vacances illimitées
Jours de télétravail

Qualifications

  • Expérience de 3 à 5 ans en ingénierie des données ou ingénierie logicielle.
  • Compétences en Python, SQL et outils de transformation des données.
  • Expérience avec des outils d'orchestration de pipelines comme Airflow.

Responsabilités

  • Construire et maintenir des pipelines de données ETL/ELT.
  • Collaborer avec des scientifiques des données et des ingénieurs produit.
  • Surveiller la performance des pipelines de données.

Connaissances

Python
SQL
Orchestration de pipeline de données
Gouvernance des données
Modélisation des données
Résolution de problèmes
Collaboration

Description du poste

About Voodoo

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.

Team

The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry.

Within the Data team, you’ll join the Ad-Network Team which is an autonomous squad of around 30 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (among which 3 Kaggle Masters). The goal of this team is to provide a way for Voodoo to monetize our inventory directly with advertising partners, and relies on advanced technological solutions to optimize advertising in a real-time bidding environment. It is a strategic topic with significant impact on the business.

This roles requires to be onsite 3 days/week and is Paris based.


Role
  • Build and maintain efficient ETL/ELT data pipelines using tools like DBT, Airflow, or similar orchestration systems.

  • Collaborate cross-functionally with data scientists, analytics teams, and product engineers to understand data needs and translate them into robust data solutions.

  • Support the development and maintenance of our Iceberg lakehouse.

  • Monitor data pipeline performance and resolve issues related to data quality, latency, and reliability.

  • Assist in developing and enforcing data governance, documentation, and security policies.

  • Participate in code reviews, testing, and deployment processes to ensure high engineering standards.

  • Contribute to automation and infrastructure improvements using IaC and CI/CD tools (e.g., Terraform, CircleCI).

  • Stay up to date with modern data engineering trends, tools, and best practices.

Profile (Must have)
  • 3–5 years of experience in data engineering, software engineering.

  • Proficiency in Python, SQL, and data transformation tools.

  • Experience with data pipeline orchestration tools (e.g., Airflow, Prefect, Dagster).

  • Solid understanding of data warehousing concepts, distributed systems and cloud data platforms.

  • Knowledge of data modeling, data governance, and security best practices.

  • Strong problem-solving skills and attention to detail.

  • Excellent communication and collaboration abilities.

Nice to have
  • Experience working with streaming data technologies (e.g., Kafka, Spark Streaming, Kinesis).

  • Exposure to DBT or similar data transformation frameworks.

  • Knowledge of Infrastructure-as-Code and containerization (Terraform, Docker, Kubernetes).

  • Interest in observability, data lineage, and cataloging tools.

Benefits
  • Competitive salary upon experience

  • Comprehensive relocation package (including visa support)

  • Swile Lunch voucher

  • Gymlib (100% borne by Voodoo)

  • Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo

  • Child day care facilities (Les Petits Chaperons rouges)

  • Wellness activities in our Paris office

  • Unlimited vacation policy

  • Remote days

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