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
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If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.*