Data Engineer – Kafka Elasticsearch Job ID: JP054994
Il y a 3 jours
Brussels, Brussels, Belgique
ITProposal
Temps plein
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Gratuit avec email ou Google
Data Engineer – Kafka & Elasticsearch
Location:
Brussels, Belgium Start Date: September 1, 2026 Duration: Until end of 2026, extendable Work Regime: Full-time | Hybrid We are looking for an experienced Data Engineer specialized in event-driven architectures and real-time data integration , with strong expertise in Apache Kafka and Elasticsearch.
Key Responsibilities
Design, implement and manage Kafka and Elasticsearch data pipelines. Configure Kafka topics, Schema Registry, Avro, Kafka Streams, Connect and ksqlDB. Develop Elasticsearch indexing strategies, ingest pipelines and lifecycle management. Build REST APIs and microservices to expose data through a data service layer. Ensure data consistency, scalability, observability and reliable error handling. Deploy and manage components using Docker, Kubernetes and OpenShift. Implement CI/CD pipelines with GitLab CI and use Python for scripting and optimization. Document pipelines, schemas, configurations and technical solutions. Key
Skills:
Apache Kafka and Schema Management Elasticsearch and Kibana REST APIs and Microservices Docker, Kubernetes and OpenShift GitLab CI/CD Python and PostgreSQL Data pipeline observability, troubleshooting and optimization Dutch, English and French knowledge
Location:
Brussels, Belgium Start Date: September 1, 2026 Duration: Until end of 2026, extendable Work Regime: Full-time | Hybrid We are looking for an experienced Data Engineer specialized in event-driven architectures and real-time data integration , with strong expertise in Apache Kafka and Elasticsearch.
Key Responsibilities
Design, implement and manage Kafka and Elasticsearch data pipelines. Configure Kafka topics, Schema Registry, Avro, Kafka Streams, Connect and ksqlDB. Develop Elasticsearch indexing strategies, ingest pipelines and lifecycle management. Build REST APIs and microservices to expose data through a data service layer. Ensure data consistency, scalability, observability and reliable error handling. Deploy and manage components using Docker, Kubernetes and OpenShift. Implement CI/CD pipelines with GitLab CI and use Python for scripting and optimization. Document pipelines, schemas, configurations and technical solutions. Key
Skills:
Apache Kafka and Schema Management Elasticsearch and Kibana REST APIs and Microservices Docker, Kubernetes and OpenShift GitLab CI/CD Python and PostgreSQL Data pipeline observability, troubleshooting and optimization Dutch, English and French knowledge