Datamatics Technologies

Senior Kafka Developer

OmrådeGöteborg
Publicerad2026-03-06
Ansök senast2026-06-04

Om jobbet

Job Title:Senior Kafka Developer
Location:Gothenburg, Sweden
Experience:7-8 Years
Employment Type:Full-Time
Eligibility:Candidates with a valid EU/Sweden work permit can applyJob Summary

We are seeking an experiencedSenior Kafka Developerto join our engineering team in Gothenburg, Sweden. The ideal candidate will have strong expertise inApache Kafka, event-driven architecture, and real-time data streaming platforms. You will be responsible for designing, developing, and maintaining scalable streaming solutions that support high-volume data pipelines and enterprise integration use cases. The role requires deep technical knowledge of distributed systems, strong programming skills, and experience building resilient data processing architectures.Key Responsibilities
  • Design, develop, and maintain high-performance Kafka-based streaming applications and data pipelines.
  • Architect and implement event-driven microservices and real-time data streaming solutions.
  • Build and manage Kafka producers, consumers, topics, and stream processing applications.
  • Optimize Kafka clusters for scalability, performance, and reliability.
  • Implement Kafka security, monitoring, and fault-tolerant architecture.
  • Work with cross-functional teams including data engineers, backend developers, and DevOps teams.
  • Ensure high availability and low latency in real-time data streaming platforms.
  • Troubleshoot production issues and provide performance tuning and optimization.
  • Implement data governance, schema management, and data integration frameworks.
  • Contribute to architecture discussions and define best practices for event streaming platforms.
Required Skills & Qualifications
  • 7-8 years of experience in backend development and distributed systems.
  • Strong hands-on experience with Apache Kafka ecosystem.
  • Experience with Kafka Streams, Kafka Connect, and Schema Registry.
  • Proficiency in Java, Scala, or Python for building streaming applications.
  • Experience with microservices architecture and RESTful APIs.
  • Good understanding of event-driven architecture and real-time data processing.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Strong knowledge of data pipelines, ETL processes, and message-driven systems.
  • Experience with monitoring tools and logging frameworks for distributed systems.
Preferred Qualifications
  • Experience with Confluent Kafka Platform or similar enterprise streaming platforms.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience with big data technologies such as Spark, Flink, or Hadoop.
  • Strong problem-solving skills and ability to work in high-scale production environments.
What We Offer
  • Opportunity to work on large-scale real-time data platforms.
  • Collaborative and innovative engineering environment.
  • Competitive salary and relocation support (if applicable).
  • Long-term opportunity in a growing technology team in Sweden.

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