1 to 25 of 28 Semantic Layer Jobs in England

into governed, trustworthy assets and deploy AI systems that meet the reliability standards our institutional clients expect.We operate at the intersection of data engineering, semantic modeling, and applied AI—delivering solutions across the enterprise, spanning the full breadth of Bullish operations from trading floors to treasury, compliance to market … systems that make Bullish’s data not just accessible but intelligible— to business users through conversational analytics, and to AI agents through governed semantic and knowledge layers.The industry is at an inflection point. Google Cloud’s Agentic Data Cloud, BigQuery Graph, Knowledge Catalog, and MCP-native database tooling ...

innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems … while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph ...

expert for query performance optimisation (Spark execution plans, data skew, joins) Design and implement dimensional data models (star/snowflake schemas) Architect the semantic layer for BI (Omni or similar tools like Looker) Build CI/CD pipelines to automate testing and deployment Work with stakeholders across Product … with data modelling (star/snowflake schemas) Proven experience migrating legacy data platforms Ability to optimise performance across large datasets Experience with modern BI semantic layers (e.g. Looker, Omni, Superset) Experience with CI/CD and version control (Git) Nice to have Experience with dbt or similar transformation frameworks ...

Contract Essential Skills: Proven experience in ontology engineering with hands-on OWL, RDF and SKOS delivery in a production or client-facing environment specific semantic ontology and taxonomy experience particularly using tools (Protege and Graphview) Ability to extend and refine existing ontologies, not just build from scratch Strong SPARQL … company specialising in AI-enabled transformation. We help organisations improve workflow, reporting, information management, and operational decision-making by combining process optimisation, knowledge architecture, semantic technologies, automation, and artificial intelligence. We are currently delivering an AI transformation programme for a private equity group, focused on enhancing group-level operations ...

iterate on autonomous and semi-autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety). Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. LLM-Powered … explain complex technical concepts to non-technical stakeholders. What Would Make You Stand Out: Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel). Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. Familiarity with BI platforms ...

such as finance and HR via APIs and structured feeds. Translate business requirements into robust, scalable data models using best practice approaches. Own the semantic layer and reporting layer in Power BI, enabling trusted self-serve analytics. Work closely with stakeholders across the business to define … ideally Azure. Solid SQL capability and confidence building reliable transformation logic. Experience with data modelling concepts such as star schema, Kimball-style modelling, and semantic layers. Power BI experience across data modelling, DAX, and report development. Exposure to Databricks and lakehouse concepts, including incremental loads and snapshotting. Comfortable engaging ...

team of data engineers (minimum 2) Work closely with stakeholders to translate business requirements into scalable data solutions Enable downstream analytics, including Power BI semantic models and dashboards Contribute to long-term AI and data innovation initiatives YOUR SKILLS AND EXPERIENCE: 6+ years' experience in data engineering Strong expertise … data modelling (dimensional modelling and semantic layer design) Hands-on experience with Microsoft Fabric and/or Azure data services Proven end-to-end delivery across the data lifecycle (through to visualisation) Experience managing or mentoring engineers Strong stakeholder engagement and communication skills Nice to have: Experience working ...

data models. Experience with enterprise systems such as SAP BW/HANA. A track record of building reusable datasets or maintaining a metrics/semantic layer. Basic Python for automation or analytics engineering tooling. Experience collaborating in cross-functional analytics or data product teams. Why Join Us Help shape ...

robust data models to support analytics and reporting, following best-practice approaches such as Kimball and star schemas Supporting and enhancing the Power BI semantic layer and reporting outputs Working closely with stakeholders to translate business requirements into scalable data solutions Ensuring data quality, reliability, and documentation across … cloud-based data environment, ideally Azure Solid SQL skills and hands-on experience with data transformation and modelling Experience using Power BI, including semantic models, DAX, and the reporting layer Exposure to Databricks, particularly for data transformation and connecting multiple data sources Familiarity with concepts such as medallion ...

patient care, operational performance and strategic planning. You will lead on the development and optimisation of SQL Server data warehouse solutions, advanced ETL processes, semantic/tabular data models and modern reporting platforms including Power BI. Working with large and complex healthcare datasets, you will collaborate closely with informatic … designing the underlying data structures that support reporting and analytics across the organisation. This includes developing and maintaining robust fact and dimension models, semantic layers and ETL processes to ensure data is accurate, accessible and fit for analytical use. You will contribute to the ongoing development of the Trusts ...

Snowflake Develop reusable data assets for downstream reporting and analytics Troubleshoot and resolve data quality or performance issues Improve the Reporting & Analytics Layer Design a clean, scalable semantic layer for reporting Standardise key business metrics and definitions Support transition away from legacy report-first design toward model ...

Azure Data Factory Develop robust ETL/ELT pipelines working with APIs, databases and file-based data sources Design and maintain curated datasets, semantic layers and dimensional data models for reporting and analytics Optimise SQL queries and database performance Implement data quality checks, monitoring, lineage and observability processes Support ...

engineers across squads Ensure alignment and compliance with data platform usage (warehousing, orchestration, transformation ways of working) Drive consistency in data modeling approaches and semantic layers for analytics products Champion data quality, observability, and governance practices Cross-Squad Alignment & Delivery Enablement Partner with product managers and tech leads ...

Strong commercial experience with SQL. * Experience working in MS Azure environment. * Hands-on experience working with Databricks. * Expert understanding of data modelling principles and semantic layer concepts. * Experience working with Azure Data Factory or similar orchestration tools. * Ability to translate business needs into logical, scalable data models. * Comfortable … working across multiple data sources and handling pipeline design. * Experience with Power BI, including semantic models or Tabular Editor. * Curious, collaborative mindset with the ability to push back constructively and guide stakeholders. ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

based data stacks (AWS, SQL, BI tools) * Confident stakeholder management across technical and non-technical teams * Previous management or mentoring experience preferred * Exposure to semantic layers or AI-led data accessibility tools is advantageous SALARY AND BENEFITS * Up to £140,000 base salary * Competitive benefits package * Hybrid working model ...

Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications Own and evolve the enterprise ontology , defining object types, links, actions, and semantic relationships across clinical and operational domains Design scalable, modular, and governed data pipelines , following Foundry best practices (DRY principles, no circular dependencies) Integrate structured … Strong understanding of healthcare datasets , including: EPR/PAS FHIR/HL7 Clinical coding and workforce data Proven experience in: Enterprise data modelling/semantic layer/ontology design Delivering within regulated environments (NHS, ICS, Government, or large healthcare providers) Strong stakeholder management and communication skills , with ...

governance model, and data policies Design and implement scalable data architecture across multiple business domains (HR, Finance, Commercial, CRM) Build and integrate data pipelines, semantic layers, and canonical data models Enable AI and advanced analytics use cases , ensuring data is clean, modelled, and lineage-tracked Shape the data platform ...

Business to ensure analytics is embedded in every decision Drive "Data as a Product" , owning the evolution of our data models and semantic layer, ensuring teams can reliably self‐serve from high‐quality data products Champion governance and guardrails , establishing rigorous standards for modelling, semantics, testing, and auditability ...

trusted data products that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems … scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. Champion Data-as-Code ...

maintain data pipelines for a new reporting solution within the business. You'll be responsible for the build across ingestion, modelling and creating semantic layers using their GCP stack. Successful applicants will have experience with: Looker BigQuery GCP Gemini Exceptional candidates would have worked with: Retail Data ...

data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight Collaborate closely with stakeholders across the organisation to translate business requirements … skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms Experience working with ...

What Youll Be Doing Designing and building dashboards, reports and analytical datasets Defining and implementing KPIs and metric logic aligned to business definitions Developing semantic layers and reusable reporting models Validating data accuracy, consistency and business meaning Collaborating with stakeholders to shape analytics-ready data structures Driving standardisation … Data Engineering Proven experience creating trusted analytics outputs from curated datasets Strong understanding of KPI definition, metrics and business logic Experience working with semantic or dimensional models Exposure to governed, production-focused data environments Technical Skills: Advanced SQL KPI/metric design and governance Data modelling (dimensional/semantic ...