Senior Data Engineer

Description

Ready to build high-performance, real-time data pipelines at scale? At KUBO, we’re looking for a Senior Data Engineer to support a major data modernization project for a financial services client. The project is focused on Change Data Capture (CDC), real-time streaming, and analytics, helping the client handle large volumes of transactional data efficiently. As a consultant, you’ll collaborate with an international, agile team, fully remote from Poland, and help shape the future of a platform relied on by financial teams worldwide.

Requirements

• Design, implement, and maintain high-performance data pipelines using CDC principles
• Build and optimize solutions with Kafka for real-time data integration
• Develop batch and streaming data workflows with Spark/Databricks
• Collaborate with architects, data engineers, and product teams to ensure robust and scalable data solutions
• Take full ownership of the reliability, performance, and observability of your components
• Continuously improve pipeline architecture, data quality, and team processes
• Support analytics and reporting by ensuring clean and structured data

Responsibilities

• 8+ years of experience in data engineering or backend development
• Strong understanding of Change Data Capture (CDC) principles
• Hands-on experience with Kafka for real-time data streaming
• Experience with Spark for batch and streaming processing
• Familiarity with relational and/or NoSQL databases
• Good knowledge of Java
• Knowledge of modern software engineering practices, testing, and CI/CD pipelines
• Engineering mindset: proactive, detail-oriented, focused on long-term quality
• Fluent in Polish and English (spoken and written)