1 to 25 of 87 Semantic Layer Jobs in England

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 ...

you. The Role We are looking for a Payments Data Analyst to join our London team. You will take ownership of the payments data layer, working at the intersection of Product, Commercial, and Engineering to ensure our acquiring business is measurable, scalable, and optimized for performance. You will … truth” for key payments metrics (volumes, revenue, margins). Collaborate with Engineering to define tracking requirements and proactively identify and resolve data gaps. Semantic Layer Development: Build and maintain a robust semantic layer on top of payments data, ensuring consistent metric definitions across the business ...

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 ...

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 ...

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 ...

production SLA.This is a platform and product leadership role, not an analytics or BI modelling role. Our Analytics team already owns dbt, the semantic layer, and internal BI — you partner with them and consume their definitions; you don't rebuild what they own.What you'll ownIngestion — event-driven … workPeer to the Head of Analytics — you own platform and external data products; they own meaning and internal BI. You consume their semantic layer as a contract, and neither team duplicates the other.Partner with Product Engineering (our Core and Market Vertical domain teams) as your data producers — defining ...

hands-on technical role that sits at the intersection of data engineering, business intelligence, and artificial intelligence. You'll work across gold layer models, semantic models and AI-ready data products in Microsoft Azure Fabric — and you'll actively use LLMs, machine learning, and generative AI both … tools in your own workflow and as capabilities you enable for the rest of the business. The quality of your dimensional and semantic models determines the quality of every AI output, every dashboard, and every business decision that flows from RES's data platform.What You'll DoDesign and build ...

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 ...

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 ...

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 ...

into scalable, production-grade data, analytics and AI-enabled solutions.## KEY ACCOUNTABILITIES**Data Product Strategy and Commercial Value**• Define target-state data products and semantic layers for key Global Markets domains, including client, trade, market, position, risk and reference data.• Identify use cases where governed data, analytics and automation … lineage, security and production robustness.**Data Modelling, Governance and Controls**• Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements.• Provide product-owner challenge to ensure data models are fit for business purpose, support ...

/star schema) for analytics and reporting Provide technical guidance and support to BI Developers during delivery (non-managerial) Contribute to Power BI/semantic layer design to support enterprise reporting Support integration of data from multiple SaaS and third-party systems Ensure best practices across data quality … desirable) Strong background in data warehousing and BI environments Excellent dimensional modelling (Kimball) experience Experience working closely with BI/reporting teams (Power BI, semantic models, DAX) Confident working across end-to-end data pipelines and integration patterns Strong SQL skills with experience optimising queries and datasets Comfortable guiding ...

similar tools for analytics, automation or data preparation. Experience with modern data platforms such as Databricks, Snowflake or Azure, and/or with governed semantic layers. Experience building governed self‐service analytics products and reusable reporting templates. Experience in consumer health, FMCG or another commercial reporting environment. Experience supporting ...

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 ...

hear from youThe RoleWe are looking for a Payments Data Analyst to join our London team. You will take ownership of the payments data layer, working at the intersection of Product, Commercial, and Engineering to ensure our acquiring business is measurable, scalable, and optimized for performance.You will be responsible … truth” for key payments metrics (volumes, revenue, margins). Collaborate with Engineering to define tracking requirements and proactively identify and resolve data gaps.Semantic Layer Development:Build and maintain a robust semantic layer on top of payments data, ensuring consistent metric definitions across the business and enabling ...

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 ...

mapping, validation, and sign‐off. Design and maintain the Cloud SQL unified data model, including the HR to Finance mapping table and the join layer that serves all three reporting lenses – Function, Supervisory Organization, and Job Family – from a single data model. Implement the lineage graph in Cloud … SOAP fallback Unified data model design across HR and Finance systems, lineage graph implementation with REST API publishing, and basis tagging at ingestion DirectQuery semantic layer design, Power BI Embedded integration, and Informatica Preferred Qualifications GCP Professional Data Engineer certification or equivalent demonstrated experience. Exposure to Power ...

trusted datasets and metrics that power workflows, internal tools, and customer-facing insights. Enable self-service analytics by establishing clear data contracts, documentation, and semantic layers. Build use cases including, but not limited to: Capacity planning Cost optimisation Reliability analysis Customer reporting Collaborate with Product and Commercial teams ...

tailored to the regulatory, sovereignty, and resilience requirements of tier-one financial institutions Guide customers on building AI-ready data estates: quality, lineage, governance, semantic layers, and retrieval frameworks that enable trustworthy AI grounding at scale Advise on agentic system architecture — RAG, tool-use patterns, memory and state management ...

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 ...

data models. Author and maintain dbt models, tests and docs that turn raw event streams into reliable, reusable product datasets, and own the Omni semantic layer (topics, metrics, dimensions) so stakeholders trust the numbers.Own instrumentation as a governed product. Design and maintain the event taxonomy, embed a tracking … product analytics tooling. Deep proficiency with Amplitude (or Mixpanel), including designing event taxonomies and conducting behavioural, retention and funnel analysis.Modern BI with an integrated semantic layer. Hands-on experience building intuitive, self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).Metric design & governance. Owns single-source ...