Senior Data Engineer - Streaming Platform

April 9

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Voodoo

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Voodoo is a global tech company known for entertaining the world through its iconic apps and games. The company creates engaging puzzle and strategy games that are easy to pick up, yet challenging to master. With a focus on fun that meets real stakes, Voodoo turns favorite games into competitions with cash rewards. It boasts over 7 billion downloads and 200 million monthly active users, generating $600 million in revenue as of 2023. Voodoo empowers bold creators to bring their ideas to life, working alongside creative minds, content creators, and technical innovators to shape future hits.

Social games • BtoC • Mobile • Casual Mobile Games • apps

501 - 1000 employees

🎮 Gaming

📱 Media

👥 B2C

📋 Description

• 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. • The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps. • You'll join the Ad-Network Team, 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 is to provide a way for Voodoo to monetize inventory directly with advertising partners. • This role can be done fully remote in any EMEA country.

🎯 Requirements

• Extensive experience in data or backend engineering, with at least 2+ years building real-time data pipelines. • Proficiency with stream processing frameworks like Flink, Spark Structured Streaming, Beam, or similar. • Strong programming experience in Java, Scala, or Python, with a focus on distributed systems. • Deep understanding of event streaming and messaging platforms such as GCP Pub/Sub, AWS Kinesis, Apache Pulsar, or Kafka — including performance tuning, delivery guarantees, and schema management. • Solid experience operating data services in Kubernetes, including Helm, resource tuning, and service discovery. • Experience with Protobuf/Avro, and best practices around schema evolution in streaming environments. • Familiarity with CI/CD workflows and infrastructure-as-code (e.g., Terraform, ArgoCD, CircleCI). • Strong debugging skills and a bias for building reliable, self-healing systems. • Nice to have: • Knowledge of stream-native analytics platforms (e.g., Druid, ClickHouse, Pinot). • Understanding of frequency capping, fraud detection, and pacing algorithms. • Exposure to service mesh, auto-scaling, and cost optimization in containerized environments. • Contributions to open-source streaming or infra projects.

🏖️ Benefits

• Best-in-class compensation • Other benefits according to the country you reside in