We're looking for a Data Specialist focused on Knowledge Graphs to join our client team. You'll work at the intersection of big data, semantics, and AI, helping architect and scale our graph-based data infrastructure. Your role will focus on designing and maintaining data systems that power our knowledge graph platform - including RDF graphs, ontologies, and semantic validation/querying pipelines. You'll contribute to a deeply technical mission: representing and verifying information in a structured, trustworthy way.

What you'll do

- Design, build, and maintain scalable graph-based data pipelines (batch and streaming)
- Model and manage Knowledge Graphs at scale
- Explore and work with graph databases such as Neo4j, JanusGraph, or Amazon Neptune
- Collaborate closely with the Data and AI teams on data modeling, storage, and transformation
- Promote a culture of clean, reliable, and meaningful data engineering

What we're looking for

- At least 5 years of experience as Data Engineer / Scientist




- 2+ years of hands-on experience with Knowledge Graphs or Semantic Web technologies
- Background in Data Engineering or Data Science (engineering preferred)
- Experience with Knowledge Graph technologies (no matter if RDF based or PLGs)
- Proficiency with general data engineering tools
- Familiarity with AWS Neptune or similar managed graph solutions is a plus
- Curious, collaborative, and excited to tackle a specialized, high-impact challenge

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📌 Data Engineer (Knowledge Graphs) | TOP AI Startup (Barcelona)
🏢 Joppy
📍 Barcelona