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)
