Senior Data Engineer (Real-time Data Infrastructure) for a high-scale AdTech platform processing TBs of streaming event data and powering real-time ML decisioning.

What you’ll own:

  • Real-time feature store built on Apache Flink powering ML decisioning
  • Streaming pipelines processing TB-scale event data daily
  • End-to-end data quality, validation, and observability frameworks
  • Low-latency (<100ms p99) data flows for ad selection and pricing systems
  • Close collaboration with Data Science, Backend, and Infrastructure teams

Requirements:

  • Strong experience building and scaling data infrastructure or streaming systems in production at meaningful scale
  • Experience with distributed systems and event-driven architectures
  • Strong backend engineering skills (especially Java)
  • Hands-on experience with Kafka, Flink, or similar streaming technologies

Tech stack:

  • Kafka
  • Apache Flink
  • Go
  • Java
  • AWS (S3, DynamoDB)
  • Redis
  • Druid
  • Kubernetes
  • Terraform
  • Airflow
  • Prometheus
  • Grafana
  • ELK

Logistics & benefits: Hamburg (Hybrid – 3 days onsite). Relocation and visa support available for international candidates.