Streaming / Real-Time Engineer

Main mission

Builds real-time data pipelines (Kafka, Flink).

5 key responsibilities

• Build real-time event pipelines (Kafka, Flink).
• Ensure accuracy: exactly-once, order, delay management.
• Scale for peak loads and low latency.
• Feed real-time use cases: fraud, personalization, monitoring.
• Oversee streams and manage production incidents.

Key skills

Kafka, Flink/Spark Streaming, event-driven architecture, stream observability.

What's expected

Data available the moment it matters: real-time is a competitive advantage.

Career paths

Streaming Architect, Data Platform Engineer, Data SRE.