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Knowledge Graph Engineer

WPP · Copenhagen
Full-timeTechnology & InnovationManufacturing$102,000–$138,000/yr
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About the Knowledge Graph Engineer role

Knowledge Graph Engineer positions focus on delivering results in their domain. This page aggregates open Knowledge Graph Engineer roles and what employers typically expect.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: About Data & Technology Solutions WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data data-driven solutions and technology product to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. What you'll be doing: Work with development teams to effectively use the existing Knowledge Graph Translate product and business requirements into graph-based data solutions Extend and adapt schemas in collaboration with architects when needed Ensure data consistency and correct usage patterns across applications GRAPH MACHINE LEARNING & AI INTEGRATION Develop graph-based ML models: node embeddings, link prediction, and GNNs Integrate knowledge graphs with AI/LLM-driven applications Build solutions for semantic search, entity resolution, and recommendation systems BACKEND SYSTEMS & APIS Build and maintain high-performance APIs for graph-powered services Collaborate with engineering to design scalable, production-grade systems Optimize processing and querying of large datasets DATA STRATEGY & INNOVATION Identify opportunities to leverage graph intelligence for marketing technology Partner with cross-functional teams to translate business problems into graph-based solutions Drive innovation in AI, semantic technologies, and AdTech applications KNOWLEDGE SHARING Support engineers in understanding how to use the graph effectively Participate in technical discussions and solution design Contribute to documentation and usage guidelines What you'll need: We are seeking a highly skilled and experienced Knowledge Graph Expert with Data Scientist mindset to join our Data & Technology Solutions team. This individual will play a critical role in designing, building, and scaling enterprise-grade knowledge graph systems that power next-generation marketing intelligence, including the WPP Open AI platform. If you are passionate about graph data modelling, semantic technologies, AI-driven insights, and building high-performance backend systems for large-scale marketing ecosystems, we would love to hear from you. You have: Experience working with existing Knowledge Graphs in production environments Understanding of data modelling concepts and entity relationships (not necessarily designing from scratch) Hands-on experience querying graph databases Working knowledge of graph query languages such as Cypher or SPARQL Familiarity with semantic data concepts (RDF/OWL or similar — practical level) General understanding of machine learning concepts Interest in graph analytics or applied graph ML (e.g., recommendations, similarity, traversal-based features) Familiarity with NLP or large language models at integration/usage level Ex…

Salary estimate

$102,000 – $138,000/yr
Provided by the employer.

Skills for this role

NODEMachine LearningNLPLLM

Resume tips for Knowledge Graph Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show Knowledge Graph Engineer outcomes you drove.

Research the employer's product and recent news before the interview.

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Have thoughtful questions ready about the team, tools and success metrics.

About WPP

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