> Markdown version of [/jobs/ext/1910176-data-specialist](https://www.wearedevelopers.com/jobs/ext/1910176-data-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Specialist - **Company:** Joppy - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Information Engineering, Data Infrastructure, Data Systems, Graph Database, Neo4j, Software Tools, Semantic Web, Data Pipelines - **Published:** August 4, 2026 - **Apply:** https://www.jobleads.com/es/job/e1620e9a7a0329c24f3797760051bdc24 ## About the Role * 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 ## Description 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., * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)