1 to 25 of 48 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 ...

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 ...

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 ...

patient care, operational performance and strategic planning. You will lead on the development and optimisation of SQL Server data warehouse solutions, advanced ETL processes, semantic/tabular data models and modern reporting platforms including Power BI. Working with large and complex healthcare datasets, you will collaborate closely with informatic … designing the underlying data structures that support reporting and analytics across the organisation. This includes developing and maintaining robust fact and dimension models, semantic layers and ETL processes to ensure data is accurate, accessible and fit for analytical use. You will contribute to the ongoing development of the Trusts ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

delivery focused Data Modeller who combines strong architectural thinking with genuine hands-on capability. You'll be comfortable moving between business requirements, data modelling, semantic layer design and technical implementation, helping to drive a best in class data platform. Key Knowledge Designing and delivering enterprise scale data models … Snowflake Working hands-on across data warehousing, data integration and data exchange solutions Defining and implementing logical and physical data models Developing and optimising semantic layers to support reporting, analytics and self-service consumption Collaborating with Data Architects, Engineers and Business Stakeholders to translate requirements into scalable solutions Supporting ...

build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand‐out, graph‐powered Data … offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to Accenture sales and pre‐sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks ...

following would be an advantage: SaaS or enterprise data environments Data integration or ETL processes Git or other version control tools Familiarity with semantic layer tools such as Cube or LookM Why Apply? You'll be joining a highly collaborative team where your work directly influences product quality ...

influence technical direction and architectural decisions. Comfortable remaining hands-on while operating in a leadership capacity. Desirable Skills Airflow Databricks AI-focused development experience Semantic layer experience Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have ...