1 to 25 of 57 Semantic Layer Jobs in England

Senior Director, Semantic Platform Enablement We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate … platform (and sponsorship) to make it real! Introduction to role This Senior Director role leads the design and enterprise enablement of AstraZeneca’s semantic platform so data is consistently understood, reliably connected, and reusable by both human and AI consumers. The position establishes the capabilities needed to translate core ...

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 ...

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 ...

analytical insights and AI innovations, enabling Pandora's journey to become the world's leading jewellery 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 … 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 You Recognised and rewarded for a job well done, we have a range ...

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). \n This role goes beyond traditional BI or analytics leadership. It requires redefining the paradigm … insight consumption from pull-based reporting to AI-driven push, nudging and decision support, enabled through semantic abstraction, conversational access, and multi-channel delivery. \n You will lead the development of the vision and associated architectures (including Claude-enabled interaction models), ensuring these are translated into production-grade, scalable ...

Translate roadmap into phases of discovery, design, implementation, and validation, ensuring each phase has defined deliverables, owners, and timelines Define business logic and semantic layers for Awin's financial and business analytics Collaborate with and serve as the first point of contact for business stakeholders to understand and solve ...

connect analytical findings to business initiatives and measurable impact. Experience with modern data and analytics tools, such as data warehouses, dbt, BI tools, semantic layers, or dashboarding platforms. Strong communication skills and comfort working in ambiguous, fast-moving environments. Preferred Qualifications Proven ability to communicate recommendations to multiple senior ...

journey. Strong proficiency in 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. Strong ability to understand the underlying mechanics of marketing to ensure technical products are meaningful and focused on explaining ...

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. ...