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
Contract Type:
Temporary / Staff Leasing
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
Maybe not for you, but for someone else?
#J-18808-Ljbffr
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
Contract Type:
Temporary / Staff Leasing
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
Maybe not for you, but for someone else?
#J-18808-Ljbffr