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# Big Data Engineer - Database Performance Audit Job ID: JP054253

- **Company:** ITProposal
- **Location:** Brussel, Belgium
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon S3, Big Data, Databases, Data Migration, Data Synchronization, Distributed Systems, PostgreSQL, Query Optimization, Database Optimization, Spring-boot, Database Performance, Indexer, Event Driven Architecture, AngularJS, Apache Kafka, Data Management, Front End Software Development, Spring Batch, Docker, Microservices
- **Published:** June 3, 2026
- **Apply:** https://www.careerjet.be/jobad/be747e3b6bfe86d2c4ae72acadac0a334b

## About the Role

* Expert-level PostgreSQL performance analysis.
 * Strong expertise in query optimization, indexing, locking analysis, and database troubleshooting.
 * Proven experience auditing application databases in large-scale enterprise environments.
 * Ability to analyze complex distributed systems and high-volume data platforms.
 * Strong understanding of data consistency, replication, and migration challenges.

Profile

 * Extensive experience in database performance auditing and optimization.
 * Excellent analytical and problem-solving skills.
 * Strong communication skills in French (C2 level required).
 * Ability to work independently while collaborating within a multidisciplinary audit team.
 * Experience in large-scale Java/Spring Boot environments is highly desirable.

## Description

* Analyze PostgreSQL database performance, scalability, and reliability.
 * Investigate slow queries, indexing strategies, locking issues, and database contention.
 * Review database schemas, replication mechanisms, reporting views, and data synchronization processes.
 * Assess the impact of data migration and document migration activities on system performance and data consistency.
 * Identify technical risks affecting performance, maintainability, and operational resilience.
 * Contribute to audit findings, technical assessments, and actionable recommendations.
 * Collaborate with architects, developers, and audit team members to provide evidence-based conclusions.

Technical Environment

 * Java / Spring Boot microservices
 * Angular micro-frontends
 * Kafka event-driven architecture
 * PostgreSQL databases
 * Spring Batch processing
 * Alfresco / S3 document repositories
 * Podman containerized platform


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