26 to 50 of 109 Semantic Layer Jobs in London

workflows, event-driven services or messaging-based systems. Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift or Databricks, or with BI and semantic-layer concepts. Experience working with multi-tenant systems, row-level access controls, PII or GDPR-sensitive data. Experience supporting a migration from legacy ...

data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation. Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval patterns. Stays current with Snowflake features, best practices, and industry trends in cloud data platforms. Performs additional related ...

engagement, and the optimisation of existing reporting solutions. Key responsibilities include: Enhancing and maintaining existing Power BI dashboards and reporting solutions Developing and supporting semantic models and data layers that underpin reporting Translating business requirements into scalable reporting and data models Working closely with stakeholders to understand reporting needs … Skills & Experience You will bring strong commercial experience in: Power BI development across both front-end reporting and back-end modelling Data modelling and semantic layer design SQL for data querying and transformation DAX development and performance optimisation Stakeholder engagement and requirements gathering Communicating technical concepts ...

volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration ...

loss ratio, so we understand the risk and commercial impact of what we ship, not just conversion Own metric definitions and contribute to our semantic layer, helping ensure the business works from a consistent version of each number Collaborate with BI and Data Engineering colleagues on analytical ...

vision and hands-on execution of our next-generation Object-Centric Data Fabric . You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data—including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role … optimization, and regulatory documentation. This allows you to focus on driving high-impact platform architecture. Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache ...

standard use cases. Design data ingestion architecture (batch, micro-batch, and streaming) with clear boundaries for system-to-system integration. Define architecture for the semantic layer and self-serve analytics infrastructure. Provide input to data squads for complex data products and support Data Product Managers and Data Engineers … platform roadmap from an architectural perspective, defining how the platform evolves over time (e.g.,SAP BW transition/retirement path, Databricks maturation, Datasphere integration layer decisions). Contribute to enterprise architecture governance forums, representing data platform considerations in broader technology decisions. Provide architectural input to vendor and tooling decisions ...

credentials and adjacent platform experience will be considered. The Work Architecture & Design Design and document multi-agent architecture blueprints, agentic orchestration patterns, knowledge and semantic layer blueprints, AI governance blueprints, and AgentOps/LLMOps architecture Design the knowledge architecture underpinning agent intelligence: embeddings pipelines, vector retrieval, and semantic search — structured around commerce-specific intent, product relationships, and category hierarchies Architect the integration layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across ...

credentials and adjacent platform experience will be considered. The Work Architecture & Design Design and document multi-agent architecture blueprints, agentic orchestration patterns, knowledge and semantic layer blueprints, AI governance blueprints, and AgentOps/LLMOps architecture Design the knowledge architecture underpinning agent intelligence: embeddings pipelines, vector retrieval, and semantic search — structured around commerce-specific intent, product relationships, and category hierarchies Architect the integration layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across ...

e.g. Consumer Duty, CASS, KYC/AML, GDPR) into concrete data controls, monitoring and reporting. Maintain and evolve the analytics glossary, data catalogue and semantic layer so compliance-related metrics are clearly defined, consistent and auditable. Support internal and external audit requests with well-documented, reproducible analysis. Modern … Dashboards Build and maintain dashboards and reports using modern BI tools. Ensure metrics are correctly defined, documented, and consistent with the data catalogue and semantic layer. As the role broadens, support wider analytics team with ad hoc analysis outside governance and compliance. Data Quality & Documentation Work with the Chief ...

rituals that make this routine. Define the analytical data model: entity and event design that joins consistently across product flows, slowly changing dimensions, a semantic layer, and metric definitions. Introduce data contracts and governance standards with Tech and Data Engineering, so that new events and tables are designed ...

bind every Data Product: metadata and data contract specifications, output port and schema design, data product versioning, DQ requirements, SLA and SLO declarations, and semantic layer conventions Champion data quality, lineage, observability and governance, ensuring checks, SLAs and alerting are expressed as code and monitored in production rather ...

bind every Data Product: metadata and data contract specifications, output port and schema design, data product versioning, DQ requirements, SLA and SLO declarations, and semantic layer conventions Champion data quality, lineage, observability and governance, ensuring checks, SLAs and alerting are expressed as code and monitored in production rather ...

performance and decision‐making. Strong experience developing dashboards, reports and analytical products within enterprise Business Intelligence environments. Strong experience designing and developing data models, semantic layers, reusable data products and self‐service reporting solutions. Strong SQL and data analysis skills, with experience working with complex datasets. Experience translating business ...

challenge assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytics ecosystems. Architect cloud-native data platforms—particularly Snowflake—covering performance, workload management, security, access controls, cost governance … Deep expertise in modern data architectures, including data warehouses, data lakes, lakehouse platforms and analytics ecosystems. Extensive experience in enterprise and dimensional data modelling, semantic layers, master data strategies and data governance frameworks. Strong understanding of data product thinking and the creation of scalable, reusable and business-oriented models ...

numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across systems. Our CRM, ledgers, operational tools, and compliance systems each hold part … keys and different definitions. Resolving them into one coherent model is central to the role. Leading our Lightdash to Omni migration , then owning the semantic layer and everything built on it. Regulatory and compliance reporting. Recurring submissions and the models behind them, against externally fixed deadlines. Partnering with ...

scalable, secure, and responsible AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Agentic Frameworks, Knowledge Graphs, Semantic Layers, Vector Databases, and Cloud AI services.This role will act as the bridge between Business, Product, Engineering, Data, Security, Risk, and Technology teams … StudioAzure AI FoundryVertex AIBedrockDatabricks AISnowflake CortexExperience building enterprise AI assistants and autonomous agents.Experience with Text-to-SQL and conversational analytics.Experience with Knowledge Management and Semantic Layer technologies.We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

modelling, testing, and documentation standards the data function depends on. You will innovate on how people work with data, building the agentic tooling and semantic modelling that let teams across Planday work from trusted data with confidence. What You’ll Do Set the architectural direction of our data platform … analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer, and quality standards the data function depends on, with the validation and lineage to make them trustworthy downstream. Own orchestration and observability ...

metric definitions and actually use them Practical experience with AI in data work, such as AI‐assisted pipeline development, natural‐language analytics on a semantic layer, or AI evaluation data Clear communication with senior stakeholders, from leadership and board reporting to engineers What we offer in return Competitive ...

coordinate monthly financial reports for C-suite Create, maintain and optimise reporting for various different streams of cost information Use dbt and create semantic layers to inform AI enabled dashboards, reports, and visualisations Analyse and interpret data to track and improve commercial and operational performance Collaborate with supply chain ...

focus on new modelling and experimentation. Turn models and metric definitions created by Data Scientists into robust, reusable production components on our shared semantic layer. Help define and evolve our MLOps standards, covering versioning, model registry practices, documentation and handover. Partner with Data Engineers on upstream pipelines and Data ...

understand requirements and translate them into scalable technical solutions Driving improvements around data lineage, observability, modelling standards and platform governance Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Data Platform Architecture or Data Solutions ...

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 delivery roadmaps What we're looking for 24 years' experience in data engineering ...

design and engineering hygiene; take part in code/report reviews and knowledge‐sharing sessions. Work closely with Data Engineering on changes to the semantic/curated layer and data marts, ensuring analytics and business needs are reflected in platform design. Deliver complex analytics workstreams … insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL‐based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning, RLS, and deployment via pipelines. Understanding of Power ...

solution. THE WORK Build Knowledge Graph components that contribute to transforming a client's data architecture. Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system. Work alongside the project team and delivery leads. Build solid working relationships with client counterparts … their workstream. Help assemble the supporting evidence for the recommended semantic layer solution. Support Accenture sales efforts when called on. Keep developing skills in cutting‐edge Data & AI solutions, especially agentic technologies, and shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least ...