Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills-especially across infrastructure, SRE, and product teams. We'd Love to See Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J). Familiarity with ETL or EIS platforms like Apache Camel or Airflow. Knowledge of financial market data, especially around latency, availability, and correctness. Experience More ❯
Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills—especially across infrastructure, SRE, and product teams. We’d Love to See Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J). Familiarity with ETL or EIS platforms like Apache Camel or Airflow. Knowledge of financial market data, especially around latency, availability, and correctness. Experience More ❯
Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills-especially across infrastructure, SRE, and product teams. We'd Love to See Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J). Familiarity with ETL or EIS platforms like Apache Camel or Airflow. Knowledge of financial market data, especially around latency, availability, and correctness. Experience More ❯
Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills—especially across infrastructure, SRE, and product teams. We’d Love to See Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J). Familiarity with ETL or EIS platforms like Apache Camel or Airflow. Knowledge of financial market data, especially around latency, availability, and correctness. Experience More ❯
hands-on experience in both Semantic Graph and Property Graph systems. Solid understanding of network science concepts and their practical applications in graph engineering. Familiarity with standards such as RDF and W3C for Semantic Graphs, as well as bespoke standards for Property Graphs. Ability to mentor and train junior team members, fostering a culture of learning and growth. Experience integrating More ❯
hands-on experience in both Semantic Graph and Property Graph systems. Solid understanding of network science concepts and their practical applications in graph engineering. Familiarity with standards such as RDF and W3C for Semantic Graphs, as well as bespoke standards for Property Graphs. Ability to mentor and train junior team members, fostering a culture of learning and growth. Experience integrating More ❯
hands-on experience in both Semantic Graph and Property Graph systems. Solid understanding of network science concepts and their practical applications in graph engineering. Familiarity with standards such as RDF and W3C for Semantic Graphs, as well as bespoke standards for Property Graphs. Ability to mentor and train junior team members, fostering a culture of learning and growth. Experience integrating More ❯
sources Familiarity with Hume or similar graph intelligence platforms is a plus Comfortable working in agile and data-driven teams Desirable: Exposure to linked data or semantic web technologies (RDF, SPARQL) Background in intelligence, law enforcement, government, or fraud analytics Experience working on sensitive or classified data projects Additional Details: Inside IR35 Initial 6-month contract with potential extension Start More ❯
e.g. corporate bonds) - or a willingness to learn the domain Experience with data cataloging, metadata governance, or data discovery platforms Familiarity with semantic web or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models. Formal ontology design is not required, but ability to collaborate with ontologists is essential Understanding of data governance frameworks or More ❯
is at the heart of our legislation services. The legislation data we curate and create is a valuable public asset, comprising document data in XML, graph-based data in RDF, and website usage data. The National Archives holds an increasing volume of rich metadata about legislation, including amendment and application data, bibliographic information as well as exhaust data from our More ❯
