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.Key responsibilities Design, implement, and maintain high-performance data pipelines using CDC principles Build and optimize streaming solutions with Kafka for real-time data integration Develop batch and streaming data workflows with Spark 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 Ideal candidate profile 8+ years of experience in data engineering or backend development 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 Strong understanding of Change Data Capture (CDC) principles is a plus Fluent in English (spoken and written) Conditions Location: Remote from Poland Contract type: B2B Duration: Until end of 2026 (possible extension) Salary: 150-225 PLN/h Benefits: Private medical care, life insurance, AWS certifications, Multisport card Recruitment steps Call with a KUBO recruiter Technical interview with the client team Offer & onboarding