Software Engineer – Data Streaming (Flink / Kafka)

We are looking for an experienced Data Engineering Specialist to join a platform engineering team focused on high-throughput, event-driven systems. In this role, you’ll design, build and optimise large-scale data processing pipelines, working with Flink, Kafka, Java, and Azure to deliver streaming solutions, deploy microservices on Kubernetes, and shape future data integration strategies.

Key technologies:

• Stream processing: Flink (SQL, DataStream API)
• Messaging: Kafka
• Backend: Java, Quarkus Framework
• Cloud: Azure (Event Hubs, Blob Storage)
• Deployment: Kubernetes, ArgoCD

Core responsibilities:

• Design and implement stream processing jobs to meet complex data processing requirements
• Build and maintain deployment pipelines for streaming and microservice workloads
• Configure checkpointing, savepointing, and integration with cloud storage
• Support infrastructure setup and operation within the Flink ecosystem
• Develop and manage data sinks, routing mechanisms, and connectors

What we’re looking for:

• Strong hands-on experience with Flink and Kafka in production environments
• Solid Java development background; familiarity with Quarkus is beneficial
• Understanding of microservices, CQRS, Saga, and event-driven architecture patterns
• Experience with Kubernetes deployments and GitOps practices
• Problem-solving mindset and willingness to engage with both technical and business teams