Senior Data Engineer: Real-Time Streaming Pipelines

DOU Polska; Województwo mazowieckie; Presencial; PLN 260.000 - 360.000; Jornada completa

Descripción de la vacante

DOU Polska is seeking a senior Java backend engineer to build a high-throughput data platform that processes millions of events per minute for an international client base. You will develop production-grade Java services, streaming pipelines with Kafka and Flink, and scalable data models.

You will collaborate with architecture, product and DevOps, optimise queries on PostgreSQL/ClickHouse/Redis, and ensure observability, security and cost efficiency.

Formación

• 6+ years building production distributed systems.
• 5+ years in Java with concurrency and JVM tuning.
• 3+ years with Kafka in production.

Responsabilidades

• Build production-grade Java services and high-throughput data-processing components
• Develop and optimize Kafka and Apache Flink streaming pipelines
• Integrate data from multiple products into a unified data model
• Implement employee, department, device, and RBAC functionality
• Build services and APIs using Java, TypeScript, gRPC and Protobuf
• Design and optimize persistence on PostgreSQL, ClickHouse and Redis
• Improve scalability, reliability, throughput, latency, observability and cost
• Diagnose bottlenecks across pipelines, services, and databases
• Develop TypeScript and React frontend capabilities when needed
• Collaborate with architecture, product and DevOps teams
• Use AI-assisted tools while maintaining correctness and security

Conocimientos

Java

Kafka

Flink

PostgreSQL

Redis

gRPC

Protobuf

Kubernetes

Docker

Distributed systems

English

Herramientas

ClickHouse

CI/CD

TypeScript

React

Protobuf

Descripción del empleo

DOU Polska is seeking a senior Java backend engineer to build a high-throughput data platform that processes millions of events per minute for an international client base. You will develop production-grade Java services, streaming pipelines with Kafka and Flink, and scalable data models.

You will collaborate with architecture, product and DevOps, optimise queries on PostgreSQL/ClickHouse/Redis, and ensure observability, security and cost efficiency.