1 to 25 of 44 Semantic Layer Jobs in England

Intent and partners closely with Data Science,Engineering, Client Services (to design and maintain quality standards) and other Product Managers. IntentAI is the inference layer that turns raw behavioural and device signals into the brands, topics, moments and, eventually, forward-looking predictions (move, buy, churn) that make IntentOne valuable. … IntentAI includes an Intent Semantic Layer that selects the right context for each goal and agent at scale, and is our core technical moat. Today that moat is real but under-explained. We build strong models, but the quality and value story is still fuzzy, and the field ...

governed, trustworthy assets and deploy AI systems that meet the reliability standards our institutional clients expect. We operate at the intersection of data engineering, semantic modeling, and applied AI—delivering solutions across the enterprise, spanning the full breadth of Bullish operations from trading floors to treasury, compliance to market … systems that make Bullish’s data not just accessible but intelligible—to business users through conversational analytics, and to AI agents through governed semantic and knowledge layers. The industry is at an inflection point. Google Cloud’s Agentic Data Cloud, BigQuery Graph, Knowledge Catalog, and MCP‐native database tooling ...

Post-Bronze Ownership: Take full technical accountability for the data transformation lifecycle. This spans the entire medallion journey—cleansing data out of the Bronze layer, engineering robust Silver and Gold multi-use layers, establishing the enterprise semantic layer, and optimising the final presentation within consumption workbenches (e.g. … organisation. You will establish the standards that ensure our engineers maintain engineering excellence when embedded into delivery-focused Pods across various business areas. Semantic Enablement for AI: Lead the design of advanced metric graphs and semantic layer protocols specifically optimised to safely feed generative AI applications, text ...

with data engineering and analytics teams to ensure reporting is built on reliable, well structured datasets. Apply strong understanding of data modelling, DAX and semantic layer principles to support scalable and effective reporting solutions. Proactively identify opportunities to improve reporting, increase adoption of BI tools and enhance … Strong commercial experience using SQL and Power BI within a business intelligence or analytics environment. Good understanding of Power BI data modelling, DAX and semantic layer concepts, without necessarily being heavily focused on backend engineering. Experience building reporting and dashboard solutions for business stakeholders in a fast paced ...

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand‐out, graph‐powered offerings. Develop trusted‐advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead Accenture sales and pre‐sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand‐out, graph‐powered offerings. Develop trusted‐advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead Accenture sales and pre‐sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

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 ...

data products they need Contribute to data governance, cataloguing, access management and platform security (Analytics Engineer) Sit closer to the analyst side—transformation, modelling, semantic layer, metrics (Platform Engineer) Sit closer to the platform side—infra, tooling, developer experience for data practitioners (For Senior/Lead/Principal ...

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 ...

cloud data platforms, lakehouse architectures, and analytics ecosystems Lead architecture for data modelling, warehousing, and ETL/ELT pipelines Design and oversee BI and semantic layer architecture (Power BI and similar tools) Define standards for data governance, security, lineage, and data quality Engage senior stakeholders to shape data ...

organisation's reporting environment. Key Responsibilities Build and maintain data pipelines using Microsoft Fabric and related technologies Develop lakehouse architectures, data models and semantic layers Integrate data from a variety of operational systems, cloud platforms and APIs Optimise datasets and reporting performance within the Microsoft ecosystem Support data governance ...

machine learning use cases in a structured, governed, and scalable way. This includes end-to-end accountability for data ingestion, transformation, lakehouse design, semantic modelling, and the development of reliable data products. The role ensures business data is accessible, consistent, and trusted, with clearly defined metrics that enable high … Manage ingestion, transformation and storage of data across the platform. Ensure the platform supports both analytical and AI/ML workloads. 2) Data Modelling & Semantic Layer Define and maintain core business metrics and calculations. Ensure consistent definitions across all datasets and outputs. Develop and manage semantic models ...

Engineering to shape how data is structured, defined, and consumed across the business. You'll be responsible for designing and building the curated and semantic layers that sit between raw data ingestion and business consumption — the models that power self-serve reporting, BI tooling, and emerging AI and agentic … tools that rely on it. Responsibilities Design, build, and maintain curated data models in dbt across staging, intermediate, and mart layers Develop semantic layer definitions — metrics, dimensions, and business logic — that serve as a single source of truth for BI and analytics Translate business concepts and rules into ...

Azure environment. • Hands-on experience working with Databricks, or a strong desire to deepen expertise in it. • Expert understanding of data modelling principles and semantic layer concepts. • Experience working with Azure Data Factory or similar orchestration tools. • Ability to translate business needs into logical, scalable data models. • Comfortable … working across multiple data sources and handling pipeline design. • Experience with Power BI, including semantic models or Tabular Editor. • Curious, collaborative mindset with the ability to push back constructively and guide stakeholders. ...

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 ...

growth. What the role involves: Designing and building cloud-native data infrastructure that scales Building and maintaining reliable ingestion, transformation and orchestration pipelines Developing semantic models and governed data structures that people can trust Improving data quality, observability and lineage across the platform Contributing to architectural decisions and long … with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows Strong engineering judgement and the ability to balance long term ...

relevant scientific, engineering, or data field. Demonstrated experience operationalising MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi‐functional teams and vendor ecosystems across multiple time zones. Knowledge ...

relevant scientific, engineering, or data field. Demonstrated experience operationalizing MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi-functional teams and vendor ecosystems across multiple time zones. Knowledge ...

deliver a step-change in how insight is generated, distributed and consumed across the Group, moving to a unified, conversational, proactive AI insight layer built on the Central Data Layer (CDL).This role goes beyond traditional BI or analytics leadership. It requires redefining the paradigm of insight consumption … from "pull-based reporting" to "AI-driven push, nudging and decision support", enabled through semantic abstraction, conversational access, and multi-channel delivery.You will lead the development of the vision and associated architectures (including Claude-enabled interaction models), ensuring these are translated into production-grade, scalable capabilities adopted across ...

Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications Own and evolve the enterprise ontology , defining object types, links, actions, and semantic relationships across clinical and operational domains Design scalable, modular, and governed data pipelines , following Foundry best practices (DRY principles, no circular dependencies) Integrate structured … Strong understanding of healthcare datasets , including: EPR/PAS FHIR/HL7 Clinical coding and workforce data Proven experience in: Enterprise data modelling/semantic layer/ontology design Delivering within regulated environments (NHS, ICS, Government, or large healthcare providers) Strong stakeholder management and communication skills , with ...

platforms. Understanding of data modelling and data transformation principles. Ability to work within collaborative engineering teams. Desirable Skills Airflow Databricks AI-focused development experience Semantic layer experience Exposure to Azure-based environments and integrations. Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

strategy and influence data governance at scale Involvement in a major cloud migration programme Exposure to emerging areas such as AI-enabled analytics and semantic layer development Clear progression within a structured framework How to Apply If you are an expert in Tableau, apply below ...

just dashboards. What you'll do Design and build scalable analytics layers on modern cloud platforms (dbt, Snowflake, Databricks, BigQuery, Redshift) Build and maintain semantic/business data models for trusted, self-service reporting Develop robust transformation pipelines turning raw data into high-quality data products Define and maintain … engineering foundation — maintainable, testable, production-grade code Background as an Analytics Engineer, Data Engineer, Analytics Consultant, or BI Engineer Deep understanding of dimensional and semantic modelling, data warehousing Hands-on with dbt plus at least one of Snowflake, Databricks, BigQuery, Redshift Strong SQL at scale; working familiarity with Python ...

warehouse to Google Cloud Plat formReduce technical debt and improve performance across the existing Tableau es tateContribute to the development of AI enabled and semantic layer driven analy tics Your Skills and Experi ence:Strong commercial experience with Tableau, including dashboard and data source develo pmentAdvanced SQL skills ...