Senior Professional Data-Engineer

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Description

What awaits you We are looking for experienced Data Engineers to join an international platform team responsible for the infrastructure and data management of intelligent automation services in the finance domain. The services leverage artificial intelligence and machine learning models to generate automated booking proposals from various financial data sources. The team is currently modernizing its platform to ensure long-term scalability, stability, and performance. By 2026, all core components and data pipelines will be migrated to a modern infrastructure stack based on Kubernetes, Apache Iceberg, and other state-of-the-art technologies. As a Data Engineer, you will play a key role in designing, developing, and optimizing scalable data pipelines, lakehouse architectures, and streaming solutions, ensuring high data quality, governance, and security standards. Your profile Main Tasks & Responsibilities Design, build, and maintain scalable ETL/ELT pipelines using Apache NiFi. Implement and manage data lakehouse structures based on Apache Iceberg, including schema evolution, partitioning, and time travel features. Develop and optimize SQL queries and data access layers with Trino, ensuring high performance and reliability. Integrate diverse data sources (Kafka, S3, RDBMS, REST APIs, etc.) into unified pipelines. Ensure data quality, security, and governance across the data infrastructure. Perform performance tuning, monitoring, and troubleshooting of data pipelines and distrib

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