Real-Time Data Engineer
Summary
Build real-time streaming pipelines with Kafka and Flink on AWS, processing high-volume vehicle and infrastructure data for intelligent mobility applications.
Real-Time Data Engineer
Copenhagen, Denmark — Hybrid
Mobility Technology | Streaming Data | Intelligent Transport | Data Engineering
Our client, a growing Mobility Technology company based in Copenhagen, is looking for a Real-Time Data Engineer to build streaming systems powering intelligent mobility applications across European cities.
You’ll work with live vehicle, journey, location, and infrastructure data—building systems where speed, reliability, and scalability really matter.
What You’ll Work On
- Build real-time streaming pipelines using Kafka and Flink
- Process high-volume vehicle, journey, and infrastructure events
- Develop data services and processing applications in Python
- Design event-driven architectures for intelligent mobility products
- Build reliable data storage and access patterns using PostgreSQL
- Deploy and operate streaming workloads on AWS
- Improve pipeline latency, resilience, observability, and data quality
- Provide real-time data for analytics, optimisation, and ML applications
- Collaborate with Software, Data, and Platform Engineers on production systems
Core Skills
- 3+ years in Data Engineering, Streaming Data, Backend Engineering, or similar roles
- Apache Kafka
- Apache Flink
- Python
- PostgreSQL
- AWS
- Strong understanding of event-driven and distributed systems
Nice to Have
- Kafka Streams
- Kubernetes / Docker
- Time-series or geospatial data
- IoT or telemetry platforms
- Apache Iceberg or data lake technologies
- Prometheus / Grafana
- Experience with transport, connected vehicles, logistics, or Smart City applications