14 of 14 Semantic Layer Jobs in the North West

questions that need real thought. You'll set the standards for how analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control, testing … confidently and safely for themselves Partner with the Data Science and Enterprise AI team to deliver AI-enabled self-service analytics, grounded in governed semantic views, so colleagues can query trusted data directly in natural language rather than waiting on bespoke reporting Insight and delivery Build and maintain lightweight ...

scaling phase. You will lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform, keep business-critical BI and semantic models reliable, improve data pipeline stability and monitoring, support CRM data integration, apply AI and automation to improve data engineering, reporting and analytics … provide senior technical leadership for data engineering delivery. Core responsibilities Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign ...

into reporting and metric pipelines, such as translation, classification, basic aggregation and preparing unstructured data. Evaluating output quality is part of delivery Expose the semantic layer to internal tools and agents through MCP and APIs, working with engineering on shared standards Prepare data for agentic tools, company-wide … that feeds high-stakes decisions. Priorities are set by final business impact. Who You Are You write expert SQL and have strong dimensional or semantic data modelling skills You write working Python, with tests and version control You've built metrics and semantic layers You have ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

transformation and orchestration pipelines Integrate data from finance, CRM and other operational platforms Define the target architecture across lakehouse or warehouse storage, transformation and semantic layers Create robust dimensional and semantic data models Deliver high-quality Power BI dashboards for board, financial, operational and divisional reporting Standardise KPIs ...

work with stakeholders to translate processes into robust data products and metrics, with clear lineage and tests. You’ll deploy LLMS in production, design semantic layers, and expose data via MCP and APIs, ensuring reproducibility and business value across teams in a fast-paced fintech-like environment. #J ...

analytics, partnering with Data Engineering, Data Science and AI teams to accelerate impact. You will build a central analytics capability, define the metrics and semantic layer, and ensure trusted data and rapid insights to support commercial, product, and customer journeys. #J-18808-Ljbffr ...

operational data model and data management strategy. You will work on logical and physical models, align with industry standards, and create a semantic layer to support AI tools while ensuring data context and safety. You will join the Office of the CTO's Enterprise Architecture team, collaborate with ...

Data Analytics and Insights Manager to lead a centralised data analytics team, shaping an analytics roadmap and driving governance across metrics, data catalog, and semantic layer. You will advance self-service analytics and AI-enabled insights across the business. You will collaborate with Data Engineering, Data Science, and enterprise ...

Engineer will design, build and run AI agents and the context that powers them — prompts, instructions and reusable agent skills — drawing on the semantic models and business definitions built by the wider data team. Working within our AI governance framework and alongside delivery partners, they will take use cases … maintain high-quality prompts, system instructions and context, tested against clear acceptance criteria. Work with the wider data team to inform the design of semantic models, the business glossary and metric definitions, so they meet the needs of NLQ and agents. Connect agents to data and systems via APIs ...

Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services. Role Overview: This role focuses on designing and building semantic layers that give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies … AI. Responsibilities: Facilitate discovery workshops with business and technical stakeholders to understand and model key domains. Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts. Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines. Connect ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

Reply is hiring a specialist to design and build semantic layers that give organisations a shared, machine-readable understanding of their data. You will create ontologies and knowledge graphs across industries, from discovery to production, supporting integration, governance, analytics and AI initiatives. You will apply semantic technologies, connect ...