176 to 196 of 196 Semantic Layer Jobs in England

Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services. Role Overview: This role focuses on designing and building semantic layers that give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies … AI. Responsibilities: Facilitate discovery workshops with business and technical stakeholders to understand and model key domains. Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts. Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines. Connect ...

both current reporting and future analytical use cases. Key responsibilities include: Designing and governing enterprise-wide data models across Medallion Architecture layers. Creating curated semantic and analytical data models using dimensional modelling and Kimball methodologies. Defining data modelling standards, governance frameworks, and data feed specifications. Collaborating with Data Engineers … Modelling within large-scale enterprise environments. Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Designing and implementing Medallion Architecture frameworks. Building curated semantic layers within modern cloud data platforms. End-to-end data modelling from source systems through to analytics and reporting layers. Defining and implementing data ...

analytics engineering, dashboards, pipelines, governance, and performance optimization. Create documentation, samples, walkthroughs, and adoption assets for workflows across SQL, ELT/ETL, dbt, orchestration, semantic modeling, BI, and analytics application development. Partner closely with product, engineering, and field teams to identify high-value use cases, develop technical assets … data transformation, orchestration, APIs, SDKs, notebooks, BI tools, and cloud data platforms. Strong understanding of SQL-centric developer workflows, including data modeling, query optimization, semantic layers, transformation frameworks, governance, observability, and dashboard or analytics consumption patterns. Experience building demos, prototypes, reference apps, or production-oriented examples for analytics ...

modeling, analytics engineering, dashboards, pipelines, governance, and performance optimization.Create documentation, samples, walkthroughs, and adoption assets for workflows across SQL, ELT/ETL, dbt, orchestration, semantic modeling, BI, and analytics application development.Partner closely with product, engineering, and field teams to identify high-value use cases, develop technical assets, and continuously … engineering, data transformation, orchestration, APIs, SDKs, notebooks, BI tools, and cloud data platforms.Strong understanding of SQL-centric developer workflows, including data modeling, query optimization, semantic layers, transformation frameworks, governance, observability, and dashboard or analytics consumption patterns.Experience building demos, prototypes, reference apps, or production-oriented examples for analytics, BI, data ...

expertise and commercial acumen to shape enterprise‐wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice. YOUR ROLE This … technical direction and hold the delivery to account, without designing it yourself. Directing the design of AI‐ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information, and holding your architects to account on those decisions Assuring agentic architectures - interrogating ...

ensure AI use cases are built on the right data foundations. Understand data readiness for AI, including structured data, unstructured data, document ingestion, semantic layers, vector search, permissions and governance. Business Development Support Managing Directors in business development and origination activity across the UK and Europe. Contribute to qualified … Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and related enterprise tooling. Understanding of the data foundations required for AI, including structured data, unstructured data, semantic layers, vector search, permissions and governance. Knowledge of safe and scalable AI delivery, including identity, access, environments, observability, evaluation, auditability and responsible AI controls. Experience ...

architecture strategy across a modern Azure Data Lakehouse environment Design and govern enterprise-wide data models across Medallion Architecture layers Create scalable curated and semantic data models using dimensional modelling and Kimball methodologies Define data standards, governance frameworks and modelling best practices across the platform Work closely with Data … Data Architecture experience within enterprise-scale environments Extensive experience with dimensional modelling, star schemas, facts, dimensions and Kimball methodologies Experience designing curated and semantic layers within modern cloud data platforms Strong understanding of Medallion Architecture and Azure-based Data Lakehouse environments Experience establishing governance, standards and data architecture best ...

ROLES AND RESPONSIBILITIES: The Senior Analytics Manager will: Drive analytics innovation through AI, modern tooling, and evolving data platforms Define and implement strategies for semantic layers, metric governance, and self-service analytics Improve technical standards, scalability, and consistency across analytics practices Partner with senior leaders to shape the future … analytics, business intelligence, analytics engineering, or data strategy Advanced technical capabilities across analytics tools, coding, data modelling, and analytics architecture Experience working with semantic layers, metric governance, and self-service analytics environments Knowledge of modern data stack technologies, with exposure to dbt considered highly advantageous Demonstrated ability to influence ...

empower self-service data literacy for PMs, design researchers and engineers.Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context.Partnering with your product manager … decomposition, experimentation, causal inference, or product opportunity sizing.Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets.LLM-ready data thinking: You understand what makes data usable by AI systems: clean entities ...

Architecture layers. Building scalable dimensional models using Kimball methodologies and star schemas. Defining modelling standards, governance frameworks, and best practices. Designing and maintaining curated semantic layers for reporting and analytics. Collaborating with Data Engineers, Analytics teams, and senior stakeholders across the business. Producing architecture artefacts, data models, documentation … experience. Expertise in dimensional modelling, facts and dimensions, and Kimball methodologies. Experience working with Medallion Architecture and Azure-based data platforms. Strong understanding of semantic layers and modern cloud data environments. Experience establishing governance, modelling standards, and architecture best practice. Ability to influence stakeholders and communicate technical concepts effectively. ...

lifeDrive analytics-wide innovation, identifying practical opportunities created by AI, modern analytics tooling and evolving platform capabilities. Help define and execute our strategy for semantic layers, self-service analytics and metric governance. Raise technical standards across the analytics community, improving quality, consistency and scalability. Partner with Product, Data, Engineering … data modelling and analytics architecture. You're able to move comfortably between strategic discussions and technical implementation details. You have a strong understanding of semantic layers (e.g DBT metricflow or LookML), metric governance, self-service analytics and modern BI concepts, with a clear point of view on what good ...

payroll systems, and getting accurate data back out to them, reliably and securely, even at the volumes large customers bring. Build the data layer our agents act on: help connect our data to the AI agents and services we're building, including through MCP connectors, so they … format Experience with MCP server development , or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. We don't expect all of it. We do expect curiosity about it. Why join us? Ben's customers are large enterprise employers ...

client-facing insight depends on engineers being able to find, understand, trust, and use financial datasets at scale. DataHub is Bloomberg’s experience layer for data. What GitHub is for code, DataHub is for data: the place where engineers discover datasets, understand schemas, request access, publish streams, subscribe … only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier ...

understand their business challenges, assess their knowledge landscape, and design production-ready solutions leveraging knowledge graphs, contextual data platforms, graph databases, GraphRAG, ontologies, and semantic technologies.Key ResponsibilitiesEngage with customers to identify business challenges that can be solved through contextual AI and knowledge-driven architectures.Assess enterprise knowledge assets, structured … transformation.Design, develop, and deploy production-ready enterprise knowledge systems and rapid Proofs of Value (PoVs).Architect enterprise knowledge solutions using knowledge graphs, graph databases, semantic layers, ontologies, metadata management, and contextual data platforms.Design GraphRAG, Hybrid RAG, Agentic RAG, and contextual retrieval architectures to improve AI reasoning, explainability, and accuracy.Develop ...

chemical markets get intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor … stakeholders to accelerate adoption, integrations, and commercial opportunities Requirements A track record shipping platform capabilities that others build upon, such as APIs, data products, semantic layers, evaluation frameworks, or comparable platform primitives Experience owning platform strategy, roadmap, and delivery outcomes in data, AI, developer platform, or similarly technical product ...

integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible … enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive ...

integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible … enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive ...

expertise and commercial acumen to shape enterprise‐wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice. YOUR ROLE This … technical direction and hold the delivery to account, without designing it yourself. Directing the design of AI‐ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information, and holding your architects to account on those decisions Assuring agentic architectures - interrogating ...

will lead the development of trusted data foundations that make AI delivery faster, safer and easier to scale.Designing AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analyticsShaping agentic architectures and engineering capabilities … processes and human decision-makers, while guiding technology and platform decisions.Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices.Consulting & Client Leadership:Significant experience in consulting or senior client-facing roles, acting ...

Reply is seeking a Data and Knowledge Graph Engineer to design and build semantic layers, ontologies and knowledge graphs that connect data, systems, applications and AI solutions. You will own end-to-end technical design from discovery to production, creating robust foundations for integration, governance, analytics and generative AI. … Responsibilities include building scalable semantic models, data ingestion pipelines, and graph queries, while collaborating with stakeholders and advising on #J-18808-Ljbffr ...

chemical markets get intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor … external stakeholders to accelerate adoption, integrations, and commercial opportunitiesRequirementsA track record shipping platform capabilities that others build upon, such as APIs, data products, semantic layers, evaluation frameworks, or comparable platform primitivesExperience owning platform strategy, roadmap, and delivery outcomes in data, AI, developer platform, or similarly technical product environmentsTechnical credibility ...