Analyse and decompose complex database-centric business logic into scalable components.
Design and build event-driven architectures and streaming workflows.
Implement, deploy and operate production-grade streaming jobs with Kafka, Spark, Flink.
Improve scalability, reliability and maintainability of data pipelines.
Collaborate with domain experts to validate outputs and smooth migration.
Ensure parity and data quality by validating streaming outputs vs legacy.

🎯 Requirements

5+ years' experience in data engineering or distributed systems.
Experience designing/operating large-scale data pipelines in production.
Hands-on with Kafka, Spark and/or Flink.
Proficient in Scala or Java, and SQL.
Experience building data platforms in AWS (IAM, S3).
Experience with Kubernetes and GitOps workflows.

🎁 Benefits

Experience migrating RDBMS logic to streaming systems.
Experience applying TDD in streaming apps.
Domain modelling for maritime/shipping data.

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