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Data Engineer; Informatica PowerCenter

Job in 1000, Brussels, Bruxelles-Capitale, Belgium
Listing for: Church International
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Engineer
Job Description & How to Apply Below
Position: Data Engineer (Informatica Power Center )
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 Power Center 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 Power Center.

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 Dev Ops practices.

Knowledge of data governance or regulatory compliance (e.g., GDPR).

Apply now or email
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