Data Engineer - SRQ150746

Context

Design, develop, and optimize ETL pipelines (Informatica PowerCenter) for large-scale data processing (20TB+ databases: Oracle/SybaseIQ). Develop Java Applications (Java, Springboot, Maven Etc.)

Function description

Your main objectives are:

• Collaborate with Business Analysts to translate requirements into technical solutions, ensuring alignment with business goals.
• Release management: Secure complex changes, enforce coding best practices, and maintain high code quality.
• Performance tuning: Optimize batch processing, scheduling, and monitoring (bonus: automation).
• Problem-solving: Hands-on, pragmatic approach to troubleshooting and process improvements.
• Cross-functional teamwork: Work in a cross-cultural, English-speaking squad (banking/insurance sector experience a plus).

Language requirements

• Dutch
• French
• English - Mandatory - Fluent

Education

• Minimum: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Engineering, Computer Science).
• Preferred: Advanced degree (Master’s/PhD) in a relevant field (considered an advantage for complex problem-solving).
• Alternative: Equivalent professional experience in data-intensive roles (e.g., ETL development, data engineering) may be considered.
• Candidates with other academic backgrounds with substantial knowledge of analytics are also encouraged to apply.

Certification

Good to have

Travel and Telework

Expectation: 50% on site & 50% homeworking

Required experience / knowledge

• At least 6 years of relevant experience in Data / Analytics.
• Expertise in ETL tools (Informatica PowerCenter) and big data (20TB+ Oracle/SybaseIQ).
• Advanced SQL (complex queries, optimization).
• Good knowledge in Java (Java, Springboot, Maven Etc.) (eager to learn/build solutions with expert support).
• Scheduling/monitoring: Batch processing, dependency management, performance tuning.
• Preferable: Automation (bonus).
• Preferable: Banking/Insurance sector experience (preferred but not mandatory).

Soft skills

• Team player
• Quick self-starter, pro-active attitude
• Good Communication and Influencing skills
• Good analytical and synthesis skills
• Autonomy, commitment and perseverance
• Ability to work in a dynamic and multi-cultural environment

Nice-to-Haves

• Experience with CI/CD pipelines or DevOps practices.
• Knowledge of data governance or regulatory compliance (e.g., GDPR).