Data Engineer - Intermediate Level - Deadline 15/12/25

<p>Design and document reusable architectural patterns and data flows for AI-enabled analytics services;</p><p>Build and deploy data pipelines for ingestion, transformation, model training, and real-time inference;</p><p>Support the integration of containerised ML components using orchestration tools (e.g. Kubernetes);</p><p>Implement event-driven APIs and data connectors to enable distributed and reusable data</p><p>services;</p><p>Contribute to Client’s DevOps and CI/CD processes with a focus on analytics and intelligent services;</p><p>Develop observability mechanisms for monitoring model and pipeline performance (e.g. Grafana);</p><p>Document architectural and operational components in line with enterprise standards;</p><p>Ensure reproducibility and architectural modularity in deployed solutions</p><p></p><p>Following skills and knowledge are required for the performance of the above listed tasks:</p><p>Python, Java, and modern software engineering practices;</p><p>Experience with containerisation and orchestration tools such as Docker and Kubernetes;</p><p>Hands-on experience with AI and ML libraries (e.g. scikit-learn, TensorFlow, pandas).</p><p>Familiarity with distributed data processing (e.g. Apache Kafka, Airflow);</p><p>Knowledge of DevOps tools and CI/CD workflows (e.g. Jenkins, GitHub Actions);</p><p>Ability to design system-level monitoring and observability frameworks (e.g. Grafana, Prometheus);</p><p>Experience developing and documenting technical architecture for data and analytics systems;</p><p>Capacity to communicate across technical and policy domains in a collaborative environment.;</p><p>Autonomy in delivering model-based analytics aligned with architectural and business needs.;</p><p> </p><p></p><p>The following specific expertise is required:</p><p>•        Experience in software or data engineering, including applied work in AI/ML contexts;</p><p>•        Demonstrated experience in designing and implementing full data pipelines in production environments</p><p>•        Proven capacity to deploy and monitor intelligent systems within modular and distributed architecture;</p><p>•        Familiarity with real-time, event-driven, or edge-oriented system architectures;</p><p> </p><p></p><p>Level : Intermediate</p><p>Delivery mode : Near Site (Brussels)</p><p>Deadline 15.12.25</p><p></p>