We are looking for an experienced Data Engineer with a strong Java background to join a team building a strategic cloud-based platform responsible for large-scale market and risk data processing. The platform combines microservices, real-time and batch processing, and high-performance data pipelines operating on large volumes
Strong experience with Java and Spring Boot
Solid understanding of software design principles (SOLID, DRY, KISS)
Experience building scalable data processing pipelines and REST APIs
Knowledge of relational and NoSQL databases (PostgreSQL, Bigtable preferred)
Understanding of CI/CD and DevOps practices (Jenkins, Groovy)
Experience with distributed systems, integration frameworks, and design patterns
Strong analytical, problem-solving, and communication skills
Nice to have:
GCP (GKE, DataFlow, Cloud SQL, Bigtable)
Apache Beam
Kafka
Kubernetes/Docker
Terraform
Prometheus/Grafana
Vaadin
The role involves designing and enhancing cloud-native data solutions, improving existing data pipelines and microservices, integrating with internal systems, and collaborating with engineers and business stakeholders to deliver scalable, secure, and high-performance solutions. The team works in a modern, innovative environment focused on automation, reliability, and continuous improvement

