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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Elastic Data Engineer - **Company:** Keystone Solutions - **Location:** Brussel, Belgium - **Contract:** Temporary contract - **Skills:** Continuous Integration, Data Architecture, Elasticsearch, OpenShift, Service Layer, Unstructured Data, Scripting, Data Ingestion, Database Optimization, Event Driven Architecture, Data Lakes, Gitlab-ci, Kubernetes, Avro, Real Time Data, Apache Kafka, Kibana, Restful APIs, Data Pipelines, Docker, Microservices - **Published:** August 4, 2026 - **Apply:** https://be.indeed.com/viewjob?jk=f6a776713e4e65de ## About the Role * Proven experience as a data engineer with a focus on event-driven systems and real-time data integration. * In-depth knowledge of Apache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) and Elasticsearch (including Kibana, ingest pipelines, index lifecycle management). * Methodical and precise work ethic to ensure data consistency and scalability within the Kafka and Elastic architecture. * Ability to work autonomously, propose solutions, and adapt quickly to changes in the situation. * Strong documentation skills to clearly and structurally document analyses, pipelines, schemas, configurations, and technical choices (reports, documentation). * Excellent written and verbal communication skills to participate seamlessly in meetings with specialists and user representatives. * Ability to work in a team, prioritize within a complex environment with multiple data pipelines, processes, and technical dependencies, and demonstrate flexibility in scheduling. * Client-oriented and solution-focused attitude, stress-resistant, creative, constructive, and attentive to user needs., + Apache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) - Level: Confirmed - Most recent: Any time + CI/CD tools (GitLab CI) - Level: Confirmed - Most recent: Any time + Data Service Layer (REST API's, microservices) - Level: Confirmed - Most recent: Any time + Docker, Kubernetes en Openshift - Level: Confirmed - Most recent: Any time + Elasticsearch (Kibana, ingest pipelines, index lifecycle management) - Level: Confirmed - Most recent: Any time ## Description * Set up and manage an event-driven data architecture using Apache Kafka as a buffering and processing layer, and Elasticsearch as a data lake solution for structured and unstructured data. * Focus on establishing performant Kafka and Elastic stacks (schema management, topic management, indexing strategies) while ensuring data consistency, scalability, and observability throughout the entire data ingestion to consumption process. * Design, implement, and document necessary components, making data available via a data service layer (REST APIs, microservices) and ensuring error handling and optimization of the entire pipeline. * Develop a data service layer (REST APIs, microservices) that makes data from Elasticsearch available for analysis, monitoring, or integration with other systems. * Utilize Docker, Kubernetes, and Openshift for the deployment of components. * Ensure data consistency and scalability throughout the entire data ingestion to consumption process, and manage observability, error handling, and optimization via CI/CD pipelines (GitLab CI) and Python scripting., * Consultancy Nature: Engage in on-site work and embody the consultant identity. * Dynamic Projects: Tackle diverse challenges across various client environments. * Turbo-Charged Learning: Experience professional development and broad learning opportunities. * Skyrocketing Ambition: Commit to career growth within our framework. * Values: As a If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today . 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