[6225] Data & AI Engineer

Contract: Freelance
Customer: EU Institution
Location: Brussels, Belgium
Working Type: Hybrid

The Engineer will contribute to the design, development, and deployment of core platform components, focusing on data engineering, analytics and AI-enabled capabilities. The role requires a strong ability to work across structured and unstructured data, enabling reporting and advanced analytical and AI use cases.

Requirements:
Data Engineering & Architecture
• Proven experience in designing and implementing data pipelines, including ETL/ELT.
• Strong knowledge of data lake and data warehouse architectures.
• Experience with modern data platforms, such as Microsoft Fabric, Copilot, the Azure ecosystem, and open-source data platforms.

Handling Structured & Unstructured Data (Critical Requirement)
• Demonstrated experience in handling and integrating structured data, such as databases and tabular datasets, and unstructured data, such as documents, reports, PDFs, and text corpora.
• Ability to build pipelines enabling end-to-end exploitation of heterogeneous data.
• Experience preparing data for reporting and advanced analytics.
• Ability to structure unstructured information using metadata, classification, and transformation techniques.

Analytics & AI
• Experience with analytics development and data modelling.
• Exposure to AI/ML solutions, particularly on text- or document-based data.
• Understanding of explainability and traceability principles.

Engineering Practices
• Knowledge of DevOps, Git, CI/CD, and pipeline automation.
• Ability to deliver in multi-stakeholder environments.

Additional Desirable Skills:
• Experience with classified or restricted environments, such as EUCI or equivalent.
• Familiarity with Microsoft Purview or similar governance tools.
• Ability to create and work with MCP servers.
• Experience with data catalogues and business glossaries.
• Experience with cross-domain data handling.
• Experience with hybrid or sovereign cloud environments.
• Experience in public sector, defence or EU institutions.
• Experience in AI explainability or human-in-the-loop systems.