Senior Data Engineer (Kafka)

• IT - Software Engineering • Zürich • Contracting • Teilzeit, 80-100% • 01.08.2026 - 30.06.2027 • kafka, Kubernetes Your Tasks: • Analyze and map existing data structures to a centralized data model • Design and define Kafka-based data products • Create event models, data contracts, topic structures, and best practices for Kafka implementations • Develop, implement, and integrate scalable data products using Kafka • Build and optimize event-driven data processing solutions • Ensure an automated data operations lifecycle, including development, deployment, validation, and monitoring • Collaborate closely with architects, developers, and data engineering teams to deliver robust data solutions • Contribute to the continuous improvement of data engineering standards and best practices   Your Profile: • University degree or equivalent qualification in Computer Science, Data Engineering, or a related field • Several years of experience as a Senior Data Engineer, Data Platform Engineer, or in a similar role • Strong hands-on experience with Apache Kafka, Kubernetes, and Elasticsearch • Expert knowledge of Kafka Streams, ksqlDB, or Apache Flink • Proven experience designing and implementing event-driven architectures and Kafka-based data products • Strong understanding of automated data operations lifecycles (Develop, Deploy, Validate, Observe) • Solid experience with search technologies, especially Elasticsearch • Analytical, structured, and solution-oriented working style • Excellent communication skills and a collaborative mindset • Fluent English (C2 level)