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Data Engineer Expert


Job title: Data Engineer


Start date: 02/03/2026

End date: 27/08/2027


Pay : €450/Daily


B2B Contract - Banking Domain


Key Responsibilities

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).


Must-Have Skills (Priority Order)

Language requirements

Dutch - Nice to have

French - Nice to have

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

Working Model

Expectation: 50% on site & 50% homeworking


Required experience / knowledge

You have at least 6 years of relevant experience in Data Analytics.

Technical Depth & Complexity Navigation

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).

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