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 abilityCollaborative and proactive approach within agile teamsGood communication and documentation skillsAbility to adapt to fast-changing technology environmentsDeliverables :
Design, develop, and maintain high-performance data pipelines and streaming solutionsIntegrate and optimise data flows across multiple systemsEnsure scalability, reliability, and security of data processing frameworksCollaborate with architects and data teams to deliver robust data solutionsIn 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 consentIf you have not received any feedback after 2 weeks, please consider you application as unsuccessful.