26 to 50 of 98 Semantic Layer Jobs in England

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 ...

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 ...

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 ...

People Analytics strategies in the business. Job responsibilities Data ecosystem quality: Lead the continuous improvement of the People Analytics data ecosystem — including pipeline quality, semantic layer, and the data products we share with other teams. You will bring the rigour of an established data engineering team … machine learning or statistical modelling in a production context Exposure to AI product development, LLM tooling, or data applications Experience with data quality frameworks, semantic layers, or data observability tooling Prior experience working with HR, people, or workforce data Additional Information Bring all of you to work We create ...

delivery of high-quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for legacy and modern data sources, ensuring strong governance, reconciliation … identifying efficiencies in data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ...

intervention for 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 where … 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, evaluating technology ...

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 ...

Experience 5–10+ years experience in data architecture, data modelling, or senior data engineering roles Strong expertise in data modelling (e.g. dimensional modelling, normalisation, semantic layers) Proven experience designing scalable data architectures (warehouse, lake, or lakehouse) Strong understanding of data pipelines (ETL/ELT) and transformation patterns Experience working ...

analytics, BI, product and data science use cases. Transform complex raw and intermediate data into curated datasets aligned to business needs, and develop reusable semantic layers, metrics and core entities, working with Data Engineering to ensure source structures support high-quality outputs.Data Quality, Testing & Documentation (25%): Build automated checks ...

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 ...

outsourcing contexts, including SWIFT messaging or ISO 20022-based interfaces. Data or solution architecture experience: target-state modelling, integration patterns, event-driven design, canonical semantic layers. Exposure to AI/ML data requirements and the data modelling implications of analytics and LLM-enabled use cases in asset management. Certifications ...

modelling and data transformation principles. Ability to work effectively within collaborative engineering teams. Desirable Experience: Airflow Databricks Experience supporting AI or machine learning initiatives. Semantic layer experience. Exposure to Azure and multi cloud environments. Understanding of Inmon 3NF data modelling methodologies. Reasonable Adjustments: Respect and equality are core ...

trusted partner to senior leaders, influencing at executive level.Experience defining and embedding end‐to‐end BI delivery methodologies.Strong understanding of data governance, semantic models and trusted data principles.Hands‐on experience delivering BI in an agile, iterative environment.Experience working within insurance or wider financial services data landscapes.Desirable SkillsPractical experience with … rationalising large BI and reporting estates.Exposure to AI‐augmented analytics or automated insight generation.Experience leading BI teams through organisational change or consolidation.Familiarity with enterprise semantic layer technologies.Responsible Artificial Intelligence usage.What We Will Offer YouRecognised and rewarded for a job well done, we have a range of flexible benefits ...

cost allocation patternsDesign data ingestion architecture across batch, micro-batch and streaming, with clear boundaries for system to system integrationDefine the architecture for the semantic layer and self-serve analytics infrastructureDefine non-functional standards covering resilience, backup and restore, disaster recovery, observability and operational readinessDefine platform security ...

Maintain, improve and coordinate monthly financial reports for C-suiteCreate, maintain and optimise reporting for various different streams of cost informationUse dbt and create semantic layers to inform AI enabled dashboards, reports, and visualisationsAnalyse and interpret data to track and improve commercial and operational performanceCollaborate with supply chain ...

scalable data products (dashboards, models, internal tools) that enable stakeholders to self-serve insightsHelp teams interact more directly with data (e.g. through better abstractions, semantic layers, or AI-powered interfaces)Raise the bar for how AI is used within RAD- sharing patterns, workflows and best practicesCraft clear, compelling data ...

Claims value chain.Lead the development and expansion of scalable data pipelines supporting both structured and unstructured claims data.Scale and enhance a Claims ontology and semantic layer that connects structured and unstructured data into a unified business knowledge model, improving discoverability, interoperability, and AI readiness.Collaborate with regional Claims leaders … production.Hands-on experience with Databricks, Snowflake, Azure Data Platform, Azure AI Search, Azure Data Lake Storage, and modern cloud architectures.Experience developing enterprise ontologies, semantic layers, or knowledge graph solutions.Experience building Retrieval-Augmented Generation (RAG), AI Search, or document intelligence solutions.Experience scaling enterprise data capabilities across multiple regions and global ...

technical lead journey.Strong proficiency of SQL and advanced Python is required.Experience with modern data stacks, including dbt, data warehousing (e.g. Snowflake) and visualization/semantic layers like Lightdash or Looker. Ability to understand the underlying business logic of marketing and financials to ensure technical products are meaningful and actionable. ...

configure, test and implement capabilities such as Snowflake Cortex AI, Databricks AI/BI and Mosaic AI capabilities, Microsoft Fabric Copilot, Fabric Data Agents, semantic models, vector search, RAG patterns, AI-assisted data classification and natural language analytics. The role requires someone practical and delivery-focused: able to move …/BI, Genie, Mosaic AI capabilities, Microsoft Fabric Copilot and Fabric Data Agent-style solutions where appropriate. · Ground AI outputs in governed data sources, semantic models, metadata, business definitions and reusable data products. · Support implementation of Retrieval Augmented Generation (RAG), vector search, semantic search and enterprise knowledge retrieval ...

solution.THE WORKBuild 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 on 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) QUALIFICATIONBachelor's degree or equivalent, plus at least 3 of the following:Experience with Knowledge Graph technologies ...

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 ...