24 of 24 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

successful candidate will collaborate closely with analysts, stakeholders, and the wider data team to translate reporting requirements into reliable dashboards, datasets, measures, and semantic models. While the business benefits from senior data architecture support, it requires someone to take practical day-to-day ownership of Power BI delivery, improve … ideal for an individual who enjoys hands-on Power BI development but also understands the broader data environment, including data modelling, ERP data, semantic layers, governance, and data warehouse-related activities. Key Responsibilities Develop and maintain Power BI dashboards, reports, datasets, and semantic models. Build DAX measures, reporting ...

finance, operations and commercial teams. Roles & Responsibilities Define the technology stack and architecture for the organisation's enterprise data warehouse Establish data modelling standards, semantic layers and reusable datasets Oversee ETL pipelines across ERP, CRM and operational systems Implement data quality, governance and DataOps best practices Lead and direct … Experience working with ERP and financial data environments Experience leading distributed, offshore or third-party delivery teams Experience defining data architecture, modelling standards and semantic layers Knowledge of data governance frameworks, data quality controls and data stewardship principles What You Get Hybrid working (3 days per week ...

join our collaborative data team and help build a scalable, future-ready data platform. You'll be responsible for designing and implementing Looker semantic layers, developing robust LookML models, optimising query performance through effective caching strategies, and creating intuitive self-service reporting solutions. Working closely with stakeholders across … analytics and building a data foundation that supports both business growth and future AI initiatives. Key skills and responsibilities, Proven experience building and maintaining semantic layers using LookML. Experience using datagroups, caching, and model tuning to manage cloud computing costs. Strong ability to write and optimise complex SQL queries. ...