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Real-Time Data Engineer

Xpertdirect — Denmark · Posted ~23 hours ago

Hybrid

Skills

Kafka Apache Flink Python PostgreSQL AWS Real-time data streaming Event-driven architecture Data engineering

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Summary ✨ AI‑Generated

A mobility-focused technology organization is seeking a Real-Time Data Engineer to build reliable streaming pipelines for high-volume live data. The role involves Kafka and Flink, Python-based processing services, PostgreSQL, AWS, event-driven architecture, and improving latency, resilience, observability, and data quality.

Highlights

Build high-scale real-time data systems for intelligent mobility applications, working with streaming technologies, cloud infrastructure, and event-driven architectures in a collaborative engineering environment.

Description

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