1 to 25 of 106 Semantic Layer Jobs in England

senior individual contributor role in our Data Services & Governance team where you'll act as the thought and technical leader owning the semantic layer and analytics standards for Pleo. This means that you won't own a domain but you'll own what good looks like across … evangelising our modelling standards and AI-augmented development practices that every Analytics Engineer work with, regardless of which team they sit in. The semantic layer you will be designing and maintaining will be the single source of truth that AI agents, BI tools, and analysts query. This ...

their compliance programs.To learn more about Comply, visit comply.comThe Role:We are looking for Senior AI Data Engineers to implement and operationalize Comply’s semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This … hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. ...

Data Governance, AI & Analytics.Our Data Management practice is one of the largest and most successful in the UK, delivering innovative enterprise data, governance and semantic transformation programmes for global clients.The Enterprise Data Management capability provides services across Data Governance, Data Strategy, Metadata Management, Master Data Management, Data Architecture, Data … Quality and Data Products.As organisations increasingly seek to unlock business value through semantic interoperability, knowledge-driven architectures and AI-enabled data platforms, we help our clients establish enterprise semantic foundations that enable trusted, reusable and interoperable data assets.This role will be primarily focused on delivering the Semantic ...

Engineers, Data Scientists, and Data Engineers.You will own our Looker environment end to end — connecting new data sources, modelling a clean and reliable LookML semantic layer, and building the dashboards and self-serve tools that our UA analysts and marketing leadership rely on every day. Beyond building … make a significant impact within the company.Key ResponsibilitiesOwn our Looker environment end to end — connect new data sources, author and maintain the LookML semantic layer (views, explores, models and derived tables), and build the final dashboards, all independently.Design and build self-serve tools and dashboards that empower ...

cohort LTV, and quantify marketing's contribution to pipeline and bookings, in partnership with our GTM/RevOps analytics.Own marketing data models and the semantic layer. Author dbt models on BigQuery integrating HubSpot, Salesforce, Google Analytics and Amplitude, and own the Omni semantic layer so the team … optimisation and reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs.Modern BI with an integrated semantic layer — building self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).Deep knowledge of the marketing stack — HubSpot (or similar automation ...

schema fundamental to an FP&A analyst. Responsibilities Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure — with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice … meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical ...

9fin.Explain what's moving the numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards.Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers.Be the embedded … optimisation and reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs.Modern BI with an integrated semantic layer — building self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).Engagement and event analytics — designing tracking/instrumentation and analysing ...

HSBC defines, organises and connects business terms across the Group. You’ll build high-quality glossaries, taxonomies and ontologies that create a shared semantic layer - so our data can be understood consistently and used by AI to answer questions across teams, faster and with more confidence.A move across … modelling expertise, standards, and governance to keep content high quality and reusable“Join the dots” across teams/domains to help build a shared semantic layer that supports cross-boundary understanding and consistencyContribute to ontology development (the layer between taxonomies) to enable AI to query and reason ...

customers interact with.Experimentation rigour. Lead A/B tests, holdouts, sample sizing, and post-test analysis to support confident decisions.Own certified metrics and the semantic layer for your squad’s domain. Ensure metrics are consistent, documented, accessible, and trusted.Applied AI as a working tool. Use LLMs … senior commercial stakeholders.It would also be greatifyou have:Familiarity with AI evaluation patterns - eval sets, scorecards, guardrails for non-deterministic outputs.Working understanding of the semantic layer and certified metrics.Hands-on experience prototyping data-driven product featuresExperience as the data expert in an Agile squad alongside Product, Engineers ...

similar) and experience integrating with proprietary in-house metadata and event models. Proven design of federated (hub-and-spoke) metadata architectures: a central layer for identity, hierarchy and links, domain-level catalogues with rich local detail, and a clear contract between the two. Practical experience with data governance operating … models: ownership and stewardship roles, sensitivity classification, metadata quality measurement. Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution, knowledge graph modelling; design-level knowledge of graph databases. Strong consulting and client-facing skills: leading working sessions, defending design decisions ...

means a big push on our BI capabilities, covering new chart types, heatmaps, drilldowns and a reworked dashboard grid, plus targets and budgets, a semantic layer, and AI features including a chat over a customer's own data. What you’ll be doing Performance work. These are dashboards … transaction data, and speed is a feature. Targets and budgets: letting operators set goals per site, per revenue centre, and track against them. Our semantic layer, so metrics mean the same thing everywhere they're used. AI features: dashboard summaries, an AI chat over a customer ...

with business and technical stakeholders to shape solution design, governance, security and best-practice adoption. - Provide technical leadership across FDI deployments, data modelling and semantic layer configuration. - Lead the development and implementation of dashboard and enterprise reporting solutions. - Support the transformation of existing reporting and analytics capabilities into … strong experience in: - Oracle Fusion Data Intelligence (FDI) - Oracle Fusion Cloud Applications - Oracle Analytics Cloud (OAC) - Data analytics and enterprise reporting - Data modelling and semantic layer configuration - Reporting and dashboard solutions - Data integration strategies and architecture - Enterprise reporting and analytics transformations - Security, governance and Oracle Cloud best practices ...

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 Analytics - Prototype LLM-enabled features for summarisation … 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 (e.g., Qlik, Power ...

analytics platforms utilizing: SAP Business Data Cloud (BDC) for unified data ecosystems and business context integration. SAP Datasphere for data modeling, federation, virtualization, and semantic layer development. SAP Analytics Cloud (SAC) for reporting, dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications … Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. Defining data integration strategies across SAP and non‐SAP environments, including real‐time ...

managed data platform across multiple client brands. You'll work across the full data stack, from source connection through to the AI-powered query layer, deploying structured, repeatable data infrastructure that puts business intelligence directly into the hands of brand operators and investors. This is a hands-on technical … role with meaningful client exposure. You won't just build pipelines, you'll encode business logic into a context layer that makes AI genuinely useful on real commercial data. You'll deploy platforms for new brands, maintain and evolve existing ones, and help shape how we productise this capability ...

innovations, enabling Pandora's journey to become the world's leading jewelry company. What to expect from the roleLeading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations.Architecting domain data models for commerce (store, consumer, marketing, omnichannel … commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution, planning) that reflect business capabilities.Designing data product interfaces and semantic contracts that define how business entities flow through bronze-to-gold transformations, enabling interoperability between domain-owned data products.Developing semantic layer architectures that provide business-oriented ...

analytical insights and AI innovations, enabling Pandora's journey to become the world's leading jewelry company. Responsibilities Leading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations. Architecting domain data models for commerce (store, consumer, marketing … omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution, planning) that reflect business capabilities. Designing data product interfaces and semantic contracts that define how business entities flow through bronze-to-gold transformations, enabling interoperability between domain-owned data products. Developing semantic layer architectures ...

understanding of how data models feed downstream analytics and reporting. Exposure to analytics engineering practices and tooling (e.g. dbt conceptual patterns, data contracts, semantic layers). Experience in e-commerce or retail data environments is desirable. Familiarity with data mesh or data platform architecture patterns and their practical application ...

future of travel with us About the RoleWe’re looking for an Analytical Engineer to help shape the trusted data models, metrics and semantic layers that power decision-making across On the Beach.This role sits at the intersection of data engineering, business intelligence and emerging AI capabilities. … Engineering, Analytics, Product, Commercial and Technology teams to create high-quality analytical data products.You’ll help define and maintain the business logic, metrics and semantic structures that sit between our data platform and the teams using data every day.You’ll be responsible for:Designing, building and maintaining trusted analytical ...

including identity resolution, consent management, and audience readinessDevelop event streams and triggers to support customer journey orchestration and real-time decisioningProvide structured datasets and semantic layers for dashboards and advanced analyticsImplement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliancePartner with analytics, MarTech, and marketing teams ...

COPQ) and Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworks Uplift Existing Data - Uplift the metadata (semantic layer) of existing data to make it more valuable to users and AI applications (AKA "Brownfield" data enrichment) and Support AI and Natural ...

quality (COPQ) and Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworksUplift Existing Data - Uplift the metadata (semantic layer) of existing data to make it more valuable to users and AI applications (AKA "Brownfield" data enrichment) and Support AI and Natural ...

portfolio companies.Experience with CDC/replication tools feeding a warehouse from an operational database (MySQL, Postgres)Experience with Looker/LookML or another BI semantic layer.Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalogue data.Experience building or supporting AI/LLM-facing data ...

Event completeness and coverage Cardinality drift Volume anomalies Identity and user stitching integrity Proactively identify and resolve issues before they impact experiments or reporting Semantic Layer Enablement Enable trusted behavioural metrics through: Databricks metric enabled views Power BI semantic models Ensure metrics are usable for: Self serve … data quality Nice to Have Experience supporting experimentation and A/B testing Knowledge of identity resolution and cross device tracking Power BI semantic modelling experience Experience enabling self serve analytics Interest in AI assisted analytics or metric driven agentsAdditional InformationEmployee discount (hello ASOS discount!) Employee sample sales ...

cloud-based Lakehouse platform using Microsoft Fabric Building scalable and reliable data pipelines using a Medallion architecture approach Designing robust data models and semantic layers across multiple business domains Establishing engineering best practices, governance frameworks and development standards Managing and developing a small team of data engineers Partnering with … stakeholders across the organisation to translate business requirements into scalable data solutions Enabling high-quality downstream reporting, analytics and Power BI semantic models Supporting long-term data innovation and AI initiatives across the organisation YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Strong expertise in dimensional data ...