RDF-Driven Data Pipeline Analyst (Linked Data & OWL)

Pauwels Consulting; Brussel; Hybride; EUR 65 000 - 85 000; Plein temps

Résumé du poste

Pauwels Consulting is seeking a Data Pipeline Analyst for a hybrid, full-time role in Brussels. You will lead data initiatives across departments, model semantic data structures, and enhance data pipelines to boost quality and interoperability.

The role requires extensive SQL, RDF/OWL, and SPARX EA experience, plus the ability to translate requirements into actionable data architectures and operational dashboards.

Qualifications

• 5+ years of experience with SQL for data extraction and transformation across systems.
• 5+ years of experience in semantic modeling using Linked Data technologies (RDF/OWL).
• 5+ years of experience using SPARX Enterprise Architect for modeling data structures.

Responsabilités

• Analyze stakeholder requirements for data structuring and semantic modeling across operational departments.
• Define the scope, objectives, and planning for small to medium-sized data projects.
• Design and evolve semantic data models using RDF and OWL to ensure data coherence and reusability.
• Identify opportunities to improve data quality, reliability, and performance within data pipelines.
• Develop reports, KPIs, and dashboards tailored to the needs of operational users.
• Coordinate with data and ICT teams to facilitate workshops and support cross-functional decision-making.
• Document data architectures and functional choices using SPARX Enterprise Architect.

Connaissances

SQL

Semantic modeling

Data pipeline

Reporting & dashboards

Communication

English fluency

Outils

SPARX Enterprise Architect

Grafana

PostgreSQL

Oracle

RDF/OWL

Description du poste

Pauwels Consulting is seeking a Data Pipeline Analyst for a hybrid, full-time role in Brussels. You will lead data initiatives across departments, model semantic data structures, and enhance data pipelines to boost quality and interoperability.

The role requires extensive SQL, RDF/OWL, and SPARX EA experience, plus the ability to translate requirements into actionable data architectures and operational dashboards.