Data Pipeline Analyst – Linked Data & Semantic Modeling

Responsibilities

• Define scope, objectives, and deliverables for small to medium-sized data projects, including pipelines and automations.
• Analyze existing data flows, sources, and transformations to design and evolve semantic data models using RDF and OWL.
• Develop reports, KPIs, and dashboards tailored to operational use cases to support business decisions.
• Facilitate workshops with business and technical stakeholders to align data initiatives with the organizational roadmap.
• Identify opportunities to improve data quality, reliability, and performance across various data systems.
• Document functional choices and data architectures using modeling tools to ensure knowledge transfer and maintainability.

Requirements

• 5+ years of experience with semantic modeling and linked data technologies such as RDF and OWL.
• 5+ years of expertise in data engineering with a focus on SQL and functional understanding of data pipelines.
• 5+ years of experience in data analysis and delivering actionable insights for operational use cases.
• 5+ years of experience in reporting and visualization, creating KPIs and dashboards.
• 5+ years of experience in project coordination, defining scopes and deliverables for data-focused initiatives.
• 5+ years of experience with SPARX Enterprise Architect for modeling data structures and architectures.
• You are available for on-call support duties.
• You possess a professional attitude with strong communication and presentation skills.
• You are fluent in English and either French or Dutch with passive knowledge of the other.

Nice to Haves