Data Engineer (Knowledge Graphs)London - Hybrid£80,000 - £85,000No sponsorship available This group is a forward-thinking start-up dedicated to leveraging cutting-edge data technology to drive AI advancements in the legal industry. Join their mission-driven team and be a part of transforming data analysis.
The Role We are seeking a top-tier Data Engineer with specialized expertise in knowledge graphs. In this role, you will design, implement, and optimize advanced knowledge graph solutions to enhance their data platform.
Responsibilities:
* Design and develop advanced knowledge graph solutions to model complex data relationships.
* Implement robust data pipelines and ETL processes for data integration and transformation.
* Ensure the scalability, performance, and reliability of knowledge graph databases.
* Collaborate with AI engineers to seamlessly integrate knowledge graphs with AI models.
* Continuously monitor and refine data workflows and storage solutions to optimize performance.
The Skills Required * Deep expertise in knowledge graphs and related technologies (e.g., GraphQL, RDF, OWL, SPARQL).
* Proficiency in data engineering tools and languages (Python, SQL, Apache Kafka).
* Extensive experience with graph databases such as Neo4j or Amazon Neptune.
* Strong understanding of data modeling, ETL processes, and performance optimization.
* Experience using Graph AI systems with LangGraph, Graph RAG, and similar packages.
* Exceptional analytical and problem-solving skills, with a focus on innovative data solutions.
The Benefits * Develop cutting-edge data solutions that drive AI advancements.
* Join a forward-thinking startup focused on leveraging the latest in data technology.
* Contribute to a mission-driven team dedicated to transforming legal data analysis.
If you are passionate about innovative data solutions and want to be at the forefront of technology, we would love to hear from you!