21 of 21 Permanent Semantic Layer Jobs in England

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 ...

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 ...

present solutions to senior client audiences (pre-sales experience is essential). Translate business requirements into target-state data models, ingestion patterns, and semantic layers. Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness. Ensure compliance with data governance, privacy, and security controls (RBAC ...

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. ...

guidance Conduct code reviews to maintain quality and consistency Our Technologies: Data Processing : Spark Workflow Orchestration : Airflow Containerization : Kubernetes Cloud : Azure Data APIs and Semantic Layer : CubeJS The Candidate: Educational Background: A STEM degree, preferably in Computer Science or Computing. Professional Experience: At least 5 years of experience ...

company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business definitions Data quality controls You will ensure the warehouse becomes the trusted source for all business reporting. Data ...

Responsibilities Lead delivery of the Microsoft Fabric/Power BI data platform Manage the Salesforce-to-Fabric reporting and data pipeline Coordinate ingestion, modelling, semantic-layer alignment and reporting readiness Lead CRM-to-Salesforce data migration planning and execution Own project plans, milestones, dependencies, RAID and decision logs ...

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 ...

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 ...

responsibility for the outcome. Strong experience with Databricks and Azure OpenAI, which underpin much of our delivery. Nice to have Ontology, knowledge graph or semantic layer experience. Delivery experience in pharma or CPG. Practical experience designing systems around EU AI Act requirements. Multilingual AI systems in production. ...

analytics solutions. Key Responsibilities Own end-to-end data architecture across Microsoft Fabric Lakehouse, Data Warehouse, Real-Time Intelligence, Data Factory, and Power BI semantic models , ensuring scalability, security, performance, and governance. Act as the Microsoft Fabric subject matter expert , defining standards, reference architectures, accelerators, reusable assets, and delivery … proposals, and present solutions to senior client stakeholders. Pre-sales experience is essential. Translate business requirements into target-state architecture, data models, ingestion frameworks, semantic layers, and enterprise reporting strategies. Guide engineering teams on implementation best practices, performance optimisation, cost management, CI/CD, DevOps, and operational readiness across ...

platform maturity. Responsibilities include: Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting solutions Defining and embedding Tableau development best practices across the business Building high-quality dashboards that deliver actionable business insights Writing ...

platform maturity. Responsibilities include: Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting solutions Defining and embedding Tableau development best practices across the business Building high-quality dashboards that deliver actionable business insights Writing ...

solutions that drive business outcomes. Responsibilities Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement Ensure data quality, consistency, deduplication, and optimisation for analytics … resolution, consent management, and audience readiness Develop event streams and triggers to support customer journey orchestration and real-time decisioning Provide structured datasets and semantic layers for dashboards and advanced analytics Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance Partner with analytics, MarTech ...

data sources. You'll have the opportunity to: Design scalable data architecture to support future growth and new data sources. Build intuitive data models, semantic layers, and reporting structures. Improve data quality, accessibility, and governance. Simplify complex data environments through clear documentation and data mapping. Troubleshoot and enhance data ...

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 ...

Senior Software Engineer (Backend/Full-Stack, AI-Native) About Us We're rethinking enterprise integration for developers and AI agents with a semantic layer: describe the data you need, and the platform gets it - fast, deterministic, secure, self-repairing, auditable, scalable. Already live with banks and financial ...

long-term operating model for Consumer Data Science as the organisation continues its transformation. The wider business is investing heavily across customer platforms, semantic layers, data infrastructure and enterprise transformation programmes, requiring an individual who is equally comfortable discussing modelling approaches, technology architecture and commercial outcomes. Perhaps most compellingly ...

curated, analytics-ready data within our Lakehouse environment. You'll translate complex business requirements into robust SQL and PySpark pipelines, own the data serving layer, and ensure data is well-modelled, governed, performant and ready for consumption across analytics and BI. You'll also provide technical leadership and mentorship … helping to establish best practices across the team. Key Responsibilities: Design and deliver dimensional and semantic data models for analytics. Define and maintain KPIs, conformed dimensions and consistent data definitions. Develop and optimise SQL and PySpark pipelines using Databricks. Ensure high standards of data quality, testing, performance and observability. ...

integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible … enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive ...

workflows. AI-readiness partnership. Work with Enablement so priority data is usable, discoverable and fit for AI; consume certified data products and the semantic layer. Execution as the function matures. Take direct ownership of AI delivery - prioritised use case to deployed, monitored, supported service - building the team and patterns … monitoring, and responsible-AI practice. AI governance experience and the ability to make data fit for AI, working through certified data products and a semantic layer. Specialty/London Market fluency (delegated authority, ceded reinsurance, entity resolution, Lloyd's data standards), or the ability to acquire it quickly. Ability ...