Senior Data Engineer (Real-Time Data Processing & Streaming)

📋 Description

• Design, develop, and maintain scalable real-time and near-real-time data processing pipelines.
• Implement streaming data processing solutions using technologies such as Apache Kafka, Apache
• Develop and maintain Java-based services and integration components for processing data received
• Implement complex data transformations, mappings, validations, and enrichments to support business
• Build and maintain event-driven integrations using Kafka, Kafka Streams, Kafka Connect, and
• Ensure reliable data delivery to downstream consumers, applications, and storage systems.

🎯 Requirements

• Strong professional experience in Data Engineering, with a focus on streaming data processing and
• Advanced programming skills in Java (11+), including experience with the Spring framework.
• Hands-on experience with Apache Kafka, including Kafka Streams, Kafka Connect, and the development
• Practical experience with streaming and distributed processing frameworks such as Apache Flink
• Solid understanding of event-driven architectures, asynchronous communication patterns, and
• Experience designing and implementing data transformation, enrichment, and integration pipelines.

🎁 Benefits

• Finance: Competitive salary package, share plan, company performance bonuses, value-based
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal
• Learning Opportunities: Complex projects, rotations, internal tech communities, training
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme
• Health: Global internal wellbeing programme, access to wellbeing apps
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and