Experienced Data Engineer - Streaming Platform

Voodoo; Paris; Sur place; EUR 45 000 - 85 000; Plein temps

Résumé du poste

Une entreprise technologique innovante recherche un ingénieur en données passionné pour rejoindre une équipe dynamique à Paris. Dans ce rôle, vous serez responsable de la construction et de l'optimisation de pipelines de données en temps réel, en utilisant des outils de pointe tels qu'Apache Flink et Spark. Vous travaillerez en étroite collaboration avec une équipe d'ingénieurs talentueux pour garantir un flux de données fluide et efficace, tout en ayant l'opportunité d'améliorer l'infrastructure de données. Si vous êtes prêt à relever des défis techniques passionnants et à faire une différence dans l'industrie du jeu mobile, cette opportunité est faite pour vous.

Prestations

Salaire compétitif selon l'expérience

Package de relocalisation complet

Vouchers de déjeuner Swile

Gymlib entièrement pris en charge

Couverture santé premium pour la famille

Garderies pour enfants

Activités de bien-être au bureau

Politique de vacances illimitées

Jours de télétravail

Qualifications

• 3-5+ ans d'expérience en ingénierie des données avec un accent sur les systèmes de streaming en temps réel.
• Expérience avec des outils de traitement de flux comme Apache Flink et Spark.

Responsabilités

• Construire et optimiser des pipelines de données en temps réel pour traiter les données d'engagement des utilisateurs.
• Collaborer avec les ingénieurs backend pour intégrer les signaux OpenRTB dans nos pipelines de données.

Connaissances

Ingénierie des données

Systèmes de streaming en temps réel

Java

Scala

Python

Kubernetes

Gestion des schémas d'événements

Outils

Apache Flink

Spark Structured Streaming

GCP Pub/Sub

AWS Kinesis

Apache Pulsar

Kafka

Terraform

Docker

Helm

Description du poste

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, maintain, and optimize real-time data pipelines to process bid requests, impressions, clicks, and user engagement data.
• Develop scalable solutions using tools like Apache Flink, Spark Structured Streaming, or similar stream processing frameworks.
• Collaborate with backend engineers to integrate OpenRTB signals into our data pipelines and ensure smooth data flow across systems.
• Ensure data pipelines handle high-throughput, low-latency, and fault-tolerant processing in real-time.
• Write clean, well-documented code in Java, Scala, or Python for distributed systems.
• Work with cloud-native messaging and event platforms such as GCP Pub/Sub, AWS Kinesis, Apache Pulsar, or Kafka to ensure reliable message delivery.
• Assist in the management and evolution of event schemas (Protobuf, Avro), including data consistency and versioning.
• Implement monitoring, logging, and alerting for streaming workloads to ensure data integrity and system health.
• Continuously improve data infrastructure for better performance, cost-efficiency, and scalability.

Profile (Must have)

• 3-5+ years of experience in data engineering, with a strong focus on real-time streaming systems.
• Familiarity with stream processing tools like Apache Flink, Spark Structured Streaming, Beam, or similar frameworks.
• Solid programming experience in Java, Scala, or Python, especially in distributed or event-driven systems.
• Experience working with event streaming and messaging platforms like GCP Pub/Sub, AWS Kinesis, Apache Pulsar, or Kafka.
• Hands-on knowledge of event schema management, including tools like Avro or Protobuf.
• Understanding of real-time data pipelines, with experience handling large volumes of event-driven data.
• Comfortable working in Kubernetes for deploying and managing data processing workloads in cloud environments (AWS, GCP, etc.).
• Exposure to CI/CD workflows and infrastructure-as-code tools such as Terraform, Docker, and Helm.

Nice to have

• Familiarity with real-time analytics platforms (e.g., ClickHouse, Pinot, Druid) for querying large volumes of event data.
• Exposure to service mesh, auto-scaling, or cost optimization strategies in containerized environments.
• Contributions to open-source projects related to data engineering or stream processing.

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