Data EngineerLocation: brussels - montagne du parc / warandebergWork model: Hybrid (50% onsite / 50% remote)Must reside in belgium and hold the right to work in belgium We are looking for an Expert Data Engineer to join the banking/insurance domain. You will play a key role in designing, developing, and optimizing large-scale data solutions, working on complex, high-volume environments (20tb+ databases). This role combines deep technical expertise, hands-on problem solving, and close collaboration with business and IT stakeholders. Key responsibilitiesDesign, develop, and optimize ETL pipelines using Informatica PowerCenter for large-scale data processingWork with very large databases (20tb+) on Oracle and Sybase IQ, ensuring performance and reliabilityDevelop and maintain Java-based applications (Java, Spring Boot, Maven)Collaborate closely with Business Analysts to translate business requirements into robust technical solutionsTake ownership of release management, securing complex changes while enforcing coding standards and best practicesPerform performance tuning of batch processing, scheduling, and monitoring systemsActively troubleshoot issues with a pragmatic, hands-on mindset and continuously improve processesContribute effectively in a cross-cultural, English-speaking team environment Required skills & experienceMinimum 6 years of experience in data analytics / data engineering rolesStrong expertise in ETL development, specifically Informatica PowerCenterAdvanced SQL skills, including complex query design and performance optimizationSolid knowledge of Java (Java, Spring Boot, Maven) with the motivation to further develop this skillsetExperience with batch processing, scheduling, dependency management, and monitoringProven ability to work with large-scale, high-performance data environmentsBachelor's degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Statistics, etc.) Nice-to-have:Experience with automationExposure to CI/CD pipelines or DevOps practicesKnowledge of data governance or regulatory compliance (e.g., GDPR)