Design and develop Conceptual, Logical, and Physical Data Models to support robust data architectures. Produce high-quality documentation including data dictionaries, database designs, and data flow diagrams. Work with Ontologies and Knowledge Graphs to enhance semantic understanding of data. Utilise modelling tools such as Visio, Sparx Enterprise Architect, or Draw.IO. Apply modelling languages such as UML or Express-G to … experience in data modelling, including development of conceptual, logical, and physical data models. Strong ability to create and interpret data dictionaries, database designs, and data flow diagrams. Familiarity with ontologies and knowledge graphs in a data architecture context. Proficiency in using modelling tools such as Visio, Sparx Enterprise Architect, or Draw.IO. Competency in modelling languages such as UML and Express More ❯
This range is provided by La Fosse. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from La Fosse As the Lead Enterprise More ❯
This range is provided by La Fosse. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from La Fosse As the Lead Enterprise More ❯
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 certifications (e.g., DAMA CDMP, DCAM) Exposure to the Bloomberg Terminal, Bloomberg API More ❯
data catalogue and business glossary that supports data sharing across markets. Visible measures of metadata creation and usage. A comprehensive set of up to date supporting artefacts i.e. documentation, ontologies, taxonomies, classifications. User-friendly representation of current Markets data model with appropriate connections to relevant artefacts. Raised awareness of Markets’ data definition issues and standards governance framework. Coordinated data governance … skills, both oral and written. Working knowledge of at least one common metadata standard. Knowledge of user experience design (usability) for data entry and reporting. Experience building and managing ontologies and exposure to metadata/taxonomy tool/system. Behaviours We'll assess you against these behaviours during the selection process: Changing and Improving Leadership Communicating and Influencing Managing a More ❯
london, south east england, united kingdom Hybrid / WFH Options
Ofgem ECO Reporting Working Group
data catalogue and business glossary that supports data sharing across markets. Visible measures of metadata creation and usage. A comprehensive set of up to date supporting artefacts i.e. documentation, ontologies, taxonomies, classifications. User-friendly representation of current Markets data model with appropriate connections to relevant artefacts. Raised awareness of Markets’ data definition issues and standards governance framework. Coordinated data governance … skills, both oral and written. Working knowledge of at least one common metadata standard. Knowledge of user experience design (usability) for data entry and reporting. Experience building and managing ontologies and exposure to metadata/taxonomy tool/system. Behaviours We'll assess you against these behaviours during the selection process: Changing and Improving Leadership Communicating and Influencing Managing a More ❯
harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯
harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯
harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯
Data to join our Knowledge Enrichment Team ! Reporting to the team’s Engineering Manager, you will evolve BenchSci’s Knowledge Graph , integrate public life science data into our biological ontology , iterate on data models in various datastores, including Graph DB , improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you … Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci’s Knowledge Graph Integrate public life science data into the biological ontology in our Knowledge Graph Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and results Seek … SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Deep understanding of building Knowledge Graphs entailing biological ontologies, and leveraging graph DBs for their storage Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services A strong background in More ❯
Data to join our Knowledge Enrichment Team ! Reporting to the team’s Engineering Manager, you will evolve BenchSci’s Knowledge Graph , integrate public life science data into our biological ontology , iterate on data models in various datastores, including Graph DB , improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you … Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci’s Knowledge Graph Integrate public life science data into the biological ontology in our Knowledge Graph Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and results Seek … SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Deep understanding of building Knowledge Graphs entailing biological ontologies, and leveraging graph DBs for their storage Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services A strong background in More ❯
knowledge of the application of modern Systems Engineering methods to large-scale system development, including a variety of system types Experience of Systems Engineering technical methods and practices, including ontologies, modelling languages, architecture frameworks, processes and tooling Experience in modern information technology and methods such as cloud, secure by design, triple store databases, etc would be required Degree qualified in More ❯
relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability More ❯
and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline. We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to … standards, surface gaps, and drive reliability across one of the world's most critical real-time data platforms. What You'll Do Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata. Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems. Develop intuitive GUIs and interfaces to expose system insights and … C++ 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. More ❯
and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline. We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to … standards, surface gaps, and drive reliability across one of the world’s most critical real-time data platforms. What You’ll Do Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata. Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems. Develop intuitive GUIs and interfaces to expose system insights and … C++ 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. More ❯
and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline. We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to … standards, surface gaps, and drive reliability across one of the world's most critical real-time data platforms. What You'll Do Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata. Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems. Develop intuitive GUIs and interfaces to expose system insights and … C++ 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. More ❯
and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline. We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to … standards, surface gaps, and drive reliability across one of the world’s most critical real-time data platforms. What You’ll Do Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata. Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems. Develop intuitive GUIs and interfaces to expose system insights and … C++ 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. More ❯
principles. Previous experience of implementing clinical standards-based data modelling such as openEHR archetypes/templates, FHIR resource profiling, and clinical terminologies. Experience working with clinical data sets and ontologies in real-world health settings where data models (FHIR, OpenEHR, OMOP) are designed for analytical, reporting and operational enablement use-cases. Demonstrable experience modelling data presented in FHIR, OpenEHR, DICOM … Claims, SDOH etc. in the data platform for analytics, reporting and supporting operational needs. Experience of modelling and mapping data into OMOP format. Good understanding of clinical terminologies and ontologies (e.g., SNOMED CT, LOINC, ICD-10/11). Experience with data governance principles and data quality management. Excellent communication and stakeholder management skills, with the ability to lead data More ❯
of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven More ❯
of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven More ❯
more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Familiarity with one or more query languages (e.g. SQL and Cypher) Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an More ❯
Chelmsford, Essex, South East, United Kingdom Hybrid / WFH Options
Anson Mccade
TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or LLM-based applications Experience with Cypher, SQL, or similar query languages is desirable Eligible for SC clearance (UK EYES ONLY); eligibility for DV/UKIC clearance is a More ❯
legitimacy of data; identify continuous improvement opportunities through automation and simplification. Champion the use of new tools and techniques to realize emerging data opportunities and leverage the latest data ontology thinking and techniques to access new data assets. Develop and lead a team of analysts/data specialists who are the go-to experts on all aspects of governance, insights More ❯
team Self-Starter: willing to learn new technologies, ability to learn fast Strong complex problems solving skills Candidate should have some experience or interest in creating data schemas, and ontologies, defining properties and rules for different dataset types to encourage data consistency across the business. Experience with scripting and automation (e.g., Python, SQL, FME). Undergraduate degree in Data Science More ❯
legitimacy of data; identify continuous improvement opportunities through automation and simplification. Champion the use of new tools and techniques to realize emerging data opportunities and leverage the latest data ontology thinking and techniques to access new data assets. Develop and lead a team of analysts/data specialists who are the go-to experts on all aspects of governance, insights More ❯
