Senior Data Engineer - Ad networks - Core

Voodoo; Paris; Sur place; EUR 50 000 - 80 000; Plein temps

Résumé du poste

Voodoo, un acteur majeur dans le domaine des jeux mobiles, recherche un Data Engineer pour rejoindre son équipe dynamique à Paris. Le candidat idéal aura une solide expérience dans la création et la gestion de systèmes de données complexes. Vous travaillerez dans un environnement agile, collaborant avec des équipes variées pour optimiser les solutions de publicité en temps réel.

Prestations

Salaire compétitif

Package de relocation complet

Chèques déjeuner Swile

Gym gratuit

Couverture santé premium

Garderie d'enfants

Activités de bien-être

Politique de vacances illimitées

Jours de télétravail

Qualifications

• 5/6+ ans d'expérience en tant que Data Engineer ou un rôle similaire.
• Excellence en Spark sur Kubernetes, gestion de Lakehouse.
• Connaissance approfondie des infrastructures cloud, principalement AWS.

Responsabilités

• Construire et maintenir des pipelines de données autour de notre lakehouse.
• Développer des outils d'ingénierie des données pour soutenir les équipes en aval.
• Prendre en charge des projets de la discussion initiale jusqu'à la release.

Connaissances

Experiences de projet data complexe

Big Data Frameworks

AWS

Python

Java

Orchestration de pipeline data

Systèmes distribués

Modélisation de données

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.

Role

• Build and maintain robust data pipelines around our lakehouse to align with ever-evolving business needs, ensuring optimal architecture support;

• Develop the core data engineering tools (monitoring, orchestration, data modeling, security) that support downstream team;

• Take ownership of projects from initial discussions to release, including feature estimation & scoping, architecture design, and benchmarking of new technologies;

• Work closely with infrastructure teams as a Data Ops to optimize our use of cloud technologies;

• Work in a very agile environment with a fast decision process, having the opportunity to collaborate directly with people working on back-end development, data science, mobile games, broad audience mobile apps, product & marketing.

Profile (Must have)

• 5/6+ years of experience as a Data Engineer or another similar role

• Proven experience in complex data-intensive project(s), with a deep understand of the architecture and challenges (support)

• Strong Expertise in Big Data Frameworks: Spark (especially on Kubernetes), Iceberg for Lakehouse management

• Cloud Infrastructure: Deep AWS knowledge (EC2, S3, EMR, Lambda, etc.)

• Data Pipeline Orchestration: Airflow (preferably MWAA)

• Programming Skills: Python / Java

• Scalability Experience: Designing distributed data systems to handle large data volume (partitioning, replication, transactions, consistency/consensus)

• Data Modeling & Storage Optimization: Schema design for large-scale data and optimizing Iceberg tables

Nice to Have

• Streaming Data & Low-Latency Systems: Kafka, Flink, or similar real-time data processing tools

• Experience with Identity Graphs: Graph databases (e.g., Neo4j) or frameworks for identity resolution

• Performance Tuning: JVM tuning, Spark job optimization, K8S resource optimization

• GRPC Knowledge: For real-time data services integration

• Security & Compliance: Data privacy regulations (GDPR, CCPA) and encryption techniques

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