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

Design and document reusable architectural patterns and data flows for AI-enabled analytics services;

Build and deploy data pipelines for ingestion, transformation, model training, and real-time inference;

Support the integration of containerised ML components using orchestration tools (e.g. Kubernetes);

Implement event-driven APIs and data connectors to enable distributed and reusable data

services;

Contribute to Client’s DevOps and CI/CD processes with a focus on analytics and intelligent services;

Develop observability mechanisms for monitoring model and pipeline performance (e.g. Grafana);

Document architectural and operational components in line with enterprise standards;

Ensure reproducibility and architectural modularity in deployed solutions

Following skills and knowledge are required for the performance of the above listed tasks:

Python, Java, and modern software engineering practices;

Experience with containerisation and orchestration tools such as Docker and Kubernetes;

Hands-on experience with AI and ML libraries (e.g. scikit-learn, TensorFlow, pandas).

Familiarity with distributed data processing (e.g. Apache Kafka, Airflow);

Knowledge of DevOps tools and CI/CD workflows (e.g. Jenkins, GitHub Actions);

Ability to design system-level monitoring and observability frameworks (e.g. Grafana, Prometheus);

Experience developing and documenting technical architecture for data and analytics systems;

Capacity to communicate across technical and policy domains in a collaborative environment.;

Autonomy in delivering model-based analytics aligned with architectural and business needs.;

The following specific expertise is required:

•        Experience in software or data engineering, including applied work in AI/ML contexts;

•        Demonstrated experience in designing and implementing full data pipelines in production environments

•        Proven capacity to deploy and monitor intelligent systems within modular and distributed architecture;

•        Familiarity with real-time, event-driven, or edge-oriented system architectures;

Level : Intermediate

Delivery mode : Near Site (Brussels)

Deadline 15.12.25