The Role
Design, develop, and integrate scalable Kafka-based data products and event-driven pipelines. Define event models, data contracts, topic structures, and best practices. Build automated data operations (develop, deploy, validate, monitor). Collaborate with architects and engineering teams to evolve a centralized data model and high-performance data platform, and continuously improve data engineering standards.
Summary Generated by Built In
................
For our client in the telecommunications industry based in Bern, we are looking for an experienced, motivated, and proactive Senior Data Engineer (Kafka).
In this project, we are looking for an experienced Senior Data Engineer with a strong focus on Kafka, data architecture, and modern data products. You will play a key role in designing, developing, and integrating scalable data solutions while helping to build and evolve a high-performance data platform. Working in a modern engineering environment, you will contribute to the implementation of event-driven architectures and efficient data processing pipelines.
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)
For our client in the telecommunications industry based in Bern, we are looking for an experienced, motivated, and proactive Senior Data Engineer (Kafka).
In this project, we are looking for an experienced Senior Data Engineer with a strong focus on Kafka, data architecture, and modern data products. You will play a key role in designing, developing, and integrating scalable data solutions while helping to build and evolve a high-performance data platform. Working in a modern engineering environment, you will contribute to the implementation of event-driven architectures and efficient data processing pipelines.
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)
Skills Required
- University degree or equivalent in Computer Science, Data Engineering, or related field
- Several years of experience as a Senior Data Engineer, Data Platform Engineer, or similar role
- Hands-on experience with Apache Kafka
- Hands-on experience with Kubernetes
- Hands-on experience with 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)
- Analytical, structured, and solution-oriented working style
- Excellent communication skills and collaborative mindset
- Fluent English (C2 level)
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
IET Inc. is a full-service industrial engineering consulting firm dedicated to enhancing productivity, flexibility, and competitiveness for clients in various fields.
