Job Summary
We are looking for an experienced Data Engineer with a strong background in building and optimising data processing systems. The ideal candidate will have proven expertise in distributed data processing, event streaming, and modern data architecture design.
Technical Requirements:
- Strong experience in Apache Flink for real-time stream processing
- Proficiency in Apache Kafka for event-driven data pipelines
- Experience with Spring Boot (microservices development and integration)
- Solid understanding of data integration, data modelling, and data quality principles
- Strong development background in Python, Java, or Scala
- Hands-on experience working within cloud or containerised environments (e.g., AWS, Kubernetes, Docker advantageous)
- Experience with CI/CD pipelines and version control (Git, Jenkins, etc.)
- Good understanding of relational and non-relational databases
Soft Skills:
- Strong analytical and problem-solving ability
- Collaborative and proactive approach within agile teams
- Good communication and documentation skills
- Ability to adapt to fast-changing technology environments
Deliverables:
- Design, develop, and maintain high-performance data pipelines and streaming solutions
- Integrate and optimise data flows across multiple systems
- Ensure scalability, reliability, and security of data processing frameworks
- Collaborate with architects and data teams to deliver robust data solutions
* In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent
* If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.
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