Senior Kafka Data Engineer – Data Products & Streaming

Swisslinx AG
Löwenstrasse 29, 8001 Zürich
NEW
  • 6/25/2026
  • 95%
  • Temporary

Senior Kafka Data Engineer – Data Products & Streaming

This is an excellent opportunity for a senior data engineering professional with strong expertise in Apache Kafka, Kafka Streams, ksqlDB or Apache Flink, as well as experience in building scalable, reliable and observable data solutions.

Senior Kafka Data Engineer – Data Products & Streaming
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
About the customer:

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
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