Zürich, Hybrid
11 months
40 hours
SL-001392
SL-001392
About the client
We are currently looking for an experienced Senior Kafka / Streaming Data Engineer for an exciting long-term project in Zurich. The role is focused on the design, implementation and integration of Kafka-based data products within a modern data platform environment.
Framework:
- Start: Approximately 01.08.2026
- Duration: Until 30.06.2027
- Workload: Full-time
- Location: Zurich
- Home Office: 2 days per week possible
- Contract Type: Temporary / Staff Leasing
Job description
- Analyse existing data structures and map them to a target enterprise data model
- Design and implement Kafka-based data products
- Define event models, data contracts and topic structures
- Develop and integrate streaming data solutions using Apache Kafka
- Work with Kafka Streams, ksqlDB or Apache Flink
- Support the full automated data operations lifecycle, including development, deployment, validation and observability
- Apply best practices for event-driven architectures and real-time data platforms
- Work with Kubernetes and modern container-based deployment environments
- Use and integrate Elasticsearch / Elastic Search for search-related data use cases
- Collaborate closely with data architects, engineers and platform teams
Requirements
- Strong hands-on experience with Apache Kafka
- Expert knowledge in at least one of the following: Kafka Streams, ksqlDB or Apache Flink
- Solid understanding of event-driven architecture, streaming data and real-time data processing
- Experience with data products, data contracts, event modelling and topic design
- Good knowledge of Kubernetes
- Strong experience with Elasticsearch / Elastic Search
- Experience in automated data operations: develop, deploy, validate and observe
- Ability to work independently in a senior engineering role
- Strong analytical and problem-solving skills
- Excellent English communication skills

