Big Data Engineer

Our client develops a mobile marketing and audience platform that empowers the mobile app ecosystem. With direct integration into over 500,000 monthly active mobile apps, our platform processes enormous volumes of first-party data to drive intelligent, real-time decisions and fuel growth for our partners.

We’re looking for a Big Data Engineer to join our Data Platform team — someone who thrives on solving complex problems at scale, enjoys working across technologies, and is passionate about real-time data pipelines, distributed systems, and performance optimization.

Responsibilities :

• Develop and own real-time streaming and batch data pipelines that process billions of records per day
• Own services and infrastructure for request enrichment, data exports, campaign analytics, fraud detection, and more - some handling hundreds of thousands of requests per second with strict low-latency SLAs
• Build end-to-end solutions - from design to deployment and monitoring.
• Work with technologies like Flink, Spark, Kafka, Protobuf, Kubernetes, Argo WF, Jenkins, Github writing in Golang, Java / Scala and Python.
• Development of monitoring and alerting over critical Big Data pipelines
• Comfortable using modern AI-assisted development tools (e.g., GitHub Copilot, Cursor) to enhance coding, testing, and debugging
• Participate in a shared on-call rotation to support production systems and ensure high availability

Requirements :

Will be a plus :

Why Join Us?

What we offer :