76 to 100 of 109 Semantic Layer Jobs in London

consistent, joinable and open. Platform Engineering builds and operates the platform. Software teams identify and publish facts they own. This role owns the reporting layer: the single, trusted set of business measures and definitions the rest of Pod reports from. Teams across the organisation, from operations to sales … capability as a shared, well-governed core, working closely with software engineering and architecture. Data Standards & Reporting You’ll own Pod’s governed reporting layer: the single, trusted set of business measures and their definitions that the rest of Pod reports from. You’ll set standards for data analyst ...

solutions that drive business outcomes. Responsibilities Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement Ensure data quality, consistency, deduplication, and optimisation for analytics … resolution, consent management, and audience readiness Develop event streams and triggers to support customer journey orchestration and real-time decisioning Provide structured datasets and semantic layers for dashboards and advanced analytics Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance Partner with analytics, MarTech ...

architectures and data platforms End-to-end data pipelines (ingestion > transformation > visualization) Hands-on understanding (not necessarily deep execution) of: Power BI (data modeling, semantic layers, KPI standardization) Modern data platforms: Microsoft Fabric (preferred) or Snowflake/equivalent cloud data platforms Data integration patterns, including: APIs ETL/… improvements across all key functions Improve cybersecurity coverage across all sites Rationalize and optimize: MSP landscape Infrastructure footprint Build a high-performing IT leadership layer (Infra + Data/Apps) Compensation Information UK 90-110k #J-18808-Ljbffr ...

Power BI dashboards and reporting assets, ensuring alignment with team standards, scalability requirements and guidelines. Design, develop and optimise data models, SQL views, semantic layers and conformed datasets that underpin reporting, analytics and self-service data capabilities. Contribute to the migration of existing data processes to the new Data … experience delivering business intelligence, analytics and reporting solutions that drive business decision-making. Strong Power BI development skills, including DAX, Power Query (M Language), semantic modelling, dashboard design and performance optimisation. Experience with Kimball methodology and data warehousing principles is advantageous. Strong SQL and database development skills, with experience ...

governance of Power BI dashboards and reporting assets, ensuring alignment with team standards, scalability requirements and guidelines.Design, develop and optimise data models, SQL views, semantic layers and conformed datasets that underpin reporting, analytics and self-service data capabilities.Contribute to the migration of existing data processes to the new Data … Significant experience delivering business intelligence, analytics and reporting solutions that drive business decision-making.Strong Power BI development skills, including DAX, Power Query (M Language), semantic modelling, dashboard design and performance optimisation. Experience with Kimball methodology and data warehousing principles is advantageous.Strong SQL and database development skills, with experience transforming ...

build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data … offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to Accenture sales and pre-sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks ...

build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data … offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to our client sales and pre-sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks ...

build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data … offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to our client sales and pre-sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks ...

build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data … offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to our client sales and pre-sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks ...

translation of business requirements into rigorous data structures in collaboration with engineering and domain teams Guide teams on the design and effective use of semantic data models, including their application to agentic AI solutions Semantic & Knowledge Modelling: Integrate semantic layers with business glossaries, data catalogues, and lineage … tooling Design and maintain semantic models to support agentic‐AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products Guide and control the creation of data domains ...

business that helps organisations make better decisions through data. A robust data platform is already in place, significant work has been completed around the semantic layer and the business is now entering the next phase of its transformation, focused on connecting data, technology, and customer intelligence more effectively ...

Product Engineering teams, and drive reliable ingestion, modelling, and orchestration to support data-driven features for customers globally. You will design dbt models and semantic layers, own Dagster orchestration, onboard new data sources at scale, and advance self-serve analytics with agentic workflows and #J-18808-Ljbffr ...

CDP. Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys. Analytics & Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks. Data Governance & Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards. … digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals. Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics. Apply ...

lead the strategic vision and hands-on execution of our Object-Centric Data Fabric. You will unify multi-stream clinical datasets with a central semantic layer, leveraging AI-augmented workflows to automate mapping, query optimization, and regulatory documentation. The role focuses on data lake architecture, AI-enabled schema ...

will help evolve SiriusPoint's BI practice from traditional reporting to AI-driven decision intelligence, helping design, build, and govern enterprise analytical datasets, semantic models, and business ontologies that enable scalable self-service analytics and support AI use cases. Leveraging Microsoft Fabric, Power BI, and emerging AI capabilities … Analytical Data Products: Design and develop curated analytical datasets and data products that support enterprise reporting, self-service analytics, and AI consumption. Construct scalable semantic gold-layer datasets from enterprise data platforms. Define business-friendly data structures that abstract technical complexity from business users. Help evolve the practice ...

Analytics Team in London. You will drive models from notebook to production, owning deployment, monitoring and retraining, and building reusable components on the semantic layer. You will work with Data Scientists and Data Engineers to shape MLOps practices, implement CI/CD pipelines, monitor data drift, and optimize cost ...

service model that serves Risk and Compliance. Delivery. Deliver priority data products and automation. Operating disciplines. Own the data-product operating disciplines, product management, semantic and taxonomy ownership, and AI access and insight assurance. Outcomes. Measure and report success by decision-influence and accountability outcomes, not build volume. … Work With LLMs and agentic frameworks RAG architectures AI agents and orchestration (e.g. LangChain/LangGraph) Python and modern data engineering Snowflake and governed semantic layers AWS/GCP cloud services Vector databases Data pipelines and MLOps tooling Business intelligence and visualisation tools What ...

transformation programmes. What you'll be doing Supporting solution architecture and technical design Building scalable, production-grade data platform Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape deli click apply for full job details ...

Ready Data – Partner with dashboard product owners to shape their dashboards into an AI-ready form the agent can query cleanly and reliably. Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however … make pragmatic trade-offs to deliver value with minimal supervision. What Would Make You Stand Out: Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms (e.g., Qlik, Power ...

Staff Analytics Platform Engineer, you’ll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You’ll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics … with you. What you’ll be doing Co‐owning the analytics platform architecture, designing end‐to‐end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long‐term technical vision for the analytics platform, ensuring it is scalable, cost‐efficient, secure ...

data strategy, requirements and priorities. You will help define and drive the capabilities, patterns and practices needed to make enterprise data AI-ready, including semantic layers, knowledge graphs, and ontologies to ensure trusted, governed and scalable use of enterprise data by AI applications and agents. The successful candidate will … relevant experience across data and AI, including significant experience leading complex enterprise initiatives. Demonstrated experience designing or delivering AI-ready enterprise data capabilities, including semantic layers, knowledge graphs and ontologies. Strong practical understanding of modern AI technologies and architectures, including generative AI, large language models, retrieval approaches and agentic ...

data strategy, requirements and priorities. You will help define and drive the capabilities, patterns and practices needed to make enterprise data AI-ready, including semantic layers, knowledge graphs, and ontologies to ensure trusted, governed and scalable use of enterprise data by AI applications and agents. The successful candidate will … relevant experience across data and AI, including significant experience leading complex enterprise initiatives. Demonstrated experience designing or delivering AI-ready enterprise data capabilities, including semantic layers, knowledge graphs and ontologies. Strong practical understanding of modern AI technologies and architectures, including generative AI, large language models, retrieval approaches and agentic ...

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 ...

strategies, investment cases, roadmaps and measurable business outcomes. Lead teams of consultants, engineers and architects. Provide technical direction across data platforms, AI, GenAI, semantic architectures and agentic solutions. Ensure AI solutions are secure, governed, reliable and suitable for production. Navigate Financial Services regulatory and risk requirements. Lead proposals, RFPs … business development and selling work. Experience engaging senior stakeholders and presenting at governance/board level. Desirable Experience with Databricks, Azure, AWS, GCP, Snowflake, semantic layers, data products, agentic AI architectures and responsible AI in production would be highly beneficial. This is an opportunity for a senior Data ...

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 ...