Data Engineer
Location: brussels - montagne du parc / warandeberg
Work 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 responsibilities
Design, develop, and optimize ETL pipelines using Informatica PowerCenter for large-scale data processing
Work with very large databases (20tb+) on Oracle and Sybase IQ, ensuring performance and reliability
Develop and maintain Java-based applications (Java, Spring Boot, Maven)
Collaborate closely with Business Analysts to translate business requirements into robust technical solutions
Take ownership of release management, securing complex changes while enforcing coding standards and best practices
Perform performance tuning of batch processing, scheduling, and monitoring systems
Actively troubleshoot issues with a pragmatic, hands-on mindset and continuously improve processes
Contribute effectively in a cross-cultural, English-speaking team environment
Required skills \& experience
Minimum 6 years of experience in data analytics / data engineering roles
Strong expertise in ETL development, specifically Informatica PowerCenter
Advanced SQL skills, including complex query design and performance optimization
Solid knowledge of Java (Java, Spring Boot, Maven) with the motivation to further develop this skillset
Experience with batch processing, scheduling, dependency management, and monitoring
Proven ability to work with large-scale, high-performance data environments
Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Statistics, etc.)
Nice-to-have:
Experience with automation
Exposure to CI/CD pipelines or DevOps practices
Knowledge of data governance or regulatory compliance (e.g., GDPR)