16 of 16 Semantic Layer Jobs in the UK excluding London

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 ...

/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 ...

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 ...

consistent understanding and reuse - Ensuring data models are optimised for Power BI consumption, including considerations for performance, aggregation, and usability - Supporting the design of semantic layers and ensure alignment between data models and reporting models - Working closely with Business Analysts and Power BI Developers to ensure data structures meet ...

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 ...

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 ...

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 ...

data architecture across discovery, development, regulatory and operations. You will define the City Plan, establish enterprise data models and promote data mesh, data products, semantic layers and knowledge graphs to accelerate insights. You will collaborate with scientists, engineers and product teams to ensure compliance, scalability and secure data flows. ...

Report Modeller & Developer to join their Finance & Controlling MI team. As a Report Modeller & Developer, you'll design and develop data models, semantic layers, KPIs and reporting solutions that support operational reporting, business insight and strategic decision-making. You'll contribute to the migration from a legacy data warehouse … bring strong experience in data modelling, reporting, and analytics, with expert knowledge of SQL, Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional modelling and modern reporting principles, with the ability ...

economics and integration with Pfizer’s enterprise platform standards. Operating‐design safeguards Data Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI‐ready criteria and data quality. Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. … ready‐to‐use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council. Own data ...

product strategy with business value, regulatory needs, and enterprise capabilities. Enterprise Data Product Ownership: Own and evolve end-to-end data products, including datasets, semantic layers, APIs, and AI-enabled capabilities; Ensure products are scalable, reusable, governed, and aligned to enterprise standards; Drive transition from reporting and pipelines … transformation. Preferred Qualifications Experience in sustainability, supply chain, or regulated industries. Familiarity with Qlik, Power BI, or similar tools. Experience working with APIs, semantic layers, and modern data architectures. Exposure to Danaher Business System (DBS) or similar continuous improvement frameworks. Join our winning team today. Together, we’ll accelerate ...

model, master data sources, and integration between Platforms. The role also requires some technical implementation experience, for example in delivering Data Products or a semantic layer. This is a key role as R&D transforms into a Product operating model and drives insight from its data with increasing speed … architecture vision. Direct how foundational data architecture is set up by driving the adoption of modern data architecture approaches including Data Mesh, Data Products, Semantic Layers, and Knowledge Graphs. Evaluate emerging data trends and propose innovations to enhance R&D productivity and enable next-generation research solutions Ensure data ...

model, master data sources, and integration between Platforms. The role also requires some technical implementation experience, for example in delivering Data Products or a semantic layer. This is a key role as R&D transforms into a Product operating model and drives insight from its data with increasing speed … architecture vision. Direct how foundational data architecture is set up by driving the adoption of modern data architecture approaches including Data Mesh, Data Products, Semantic Layers, and Knowledge Graphs. Evaluate emerging data trends and propose innovations to enhance R&D productivity and enable next-generation research solutions Ensure data ...

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing … Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

role requires 6-8+ years in AI/ML design, strong Python skills, and experience deploying AI on AWS. You will drive semantic layers, vector databases, and knowledge graphs while aligning with business logic and #J-18808-Ljbffr ...