25 of 25 Semantic Layer Jobs in England

function. The Role As a Senior Analytics Engineer, you will be responsible for transforming raw data into well modelled, business ready data marts and semantic layers. You will take ownership of dimensional modelling, dbt transformations, and core metrics that power BI tools used across the business. This role blends … multi market initiatives. Key Responsibilities • Design and own dimensional data models using Kimball methodology • Build and maintain dbt pipelines from raw to gold layer marts • Define and enforce modelling, testing, and documentation standards • Own elements of the semantic layer and core business metrics • Translate technical schemas into ...

cost Microsoft Fabric and Platform Architecture Architect solutions on Microsoft Fabric at platform and solution level Define appropriate use of Lakehouse Warehouse OneLake and semantic models Set standards for data pipelines notebooks and orchestration patterns Define medallion layer responsibilities and data contracts between layers Govern Power BI semantic … reference data management and issue management Ensure MDM integration into analytical and operational use cases Business Intelligence and Analytics Enablement Define enterprise BI and semantic layer architecture Set standards for KPI metric definition and reuse across the organisation Enable advanced analytics and data science consumption from curated layers ...

development and consumption. Drive cultural shift towards self service analytics while maintaining governance and control. Design and lead the creation of a certified, reusable semantic layer/data marketplace in Azure. Partner with data engineering and modelling teams to deliver business-ready datasets aligned to analytics use cases. … Power BI. Perform deep analysis of existing Tableau reports, calculations, parameters, filters, and visual interactions. Translate Tableau logic into Power BI (DAX, Power Query, semantic models) while improving usability and performance. Rationalize reports to eliminate redundancy and improve insight quality. Work closely with business stakeholders to understand reporting needs ...

Overview We are seeking a Senior Data Modelling Specialist to take ownership of enterprise-level data models and semantic design within a complex, multi-domain data environment. This role is pivotal in bringing clarity, structure and consistency to how data is defined, modelled and consumed organisation-wide. Please note … standards. Design and maintain: Conceptual, Logical and Physical Data Models. Entity Relationship Diagrams (ERDs). Common/canonical data models. Define and govern the semantic layer underpinning reporting and analytics. Act as the modelling authority across multiple business domains. Translate complex business concepts into clear, reusable data structures. ...

help develop well-structured, reliable data models that power reporting, analytics, and decision-making across the organisation. You’ll work across the full transformation layer, shaping clean, trusted datasets and helping bring clarity to complex raw data. If you want to deepen your dbt and SQL expertise, work with … ensure transformations are reliable and well-structured Contribute to data quality checks, testing suites, and documentation of models and pipelines Assist in shaping the semantic layer for BI tools, ensuring definitions, metrics, and logic align with business needs Collaborate with Analysts, Data Engineers, and product teams to clarify ...

such were aware that finding a single individual covering every area of expertise is unlikely. However, they idea candidate would have: Strong knowledge of semantic layer design and optimization (e.g., LookML, dbt, or similar frameworks). Hands-on experience integrating and fine-tuning Large Language Models (LLMs ...

using tools such as SQL, Power BI, Databricks Skills & Experience: Strong SQL, Power BI and financial data modelling Experience working with enterprise data models, semantic layers, or governned data domains Proven experience partnering with senior finance and business stakeholders Strong communications skills with the ability to influence decisions ...

with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework Cube.js - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform ...

aware that finding a single individual covering every area of expertise is unlikely. However, they idea candidate would have: Strong knowledge of semantic layer design and optimization (e.g., LookML, dbt, or similar frameworks). Hands-on experience integrating and fine-tuning Large Language Models (LLMs) for conversational analytics. ...

/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices and semantic layer alignment. Data Quality & Controls Translate EDM policies into domain-specific rules and acceptance criteria. Partner with delivery teams to embed automated data … Banking domains, including products, processes, and regulatory requirements. Advanced data modelling expertise, including: Designing conceptual, logical, and physical models for complex financial domains. Applying semantic modelling for BI and analytics. Knowledge of normalization, denormalization, and performance optimization. Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent. ...

/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices and semantic layer alignment. Data Quality & Controls Translate EDM policies into domain-specific rules and acceptance criteria. Partner with delivery teams to embed automated data … Banking domains, including products, processes, and regulatory requirements. Advanced data modelling expertise, including: Designing conceptual, logical, and physical models for complex financial domains. Applying semantic modelling for BI and analytics. Knowledge of normalization, denormalization, and performance optimization. Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent. ...

quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient. Design and help build the data platform – ensuring data is processed through semantic layers and can be modelled effectively. Lead changes across the organisation, adopting a decentralised design. Role: Lead Data Engineer Salary ...

essential) ESSENTIAL SKILLS (client comments) Leadership in abstract data modelling across the whole capital market domain (client, trade, market, risk), in particular silver and semantic layers Strategic prioritisation in the data domain Stakeholder management (business stakeholders but also e.g. data governance groups) That abstract data modelling requires quant-like ...

detail. Excellent communication skills (verbal, written, and presentation). Knowledge on SAP Analytics Cloud (SAC) modelling, story creation, dashboarding and SAP Datasphere (modelling, integration, semantic layer) shall be an advantage Knowledge or quick learning ability on SAP Analytics Cloud (SAC) Shall help in below Develop SAC stories, dashboards … requirements. Knowledge or quick learning ability on SAP Datasphere (formerly DWC) Build and manage Datasphere models, spaces, and data flows. Implement data integration and semantic modelling leveraging Datasphere capabilities. Work with BW Bridge or hybrid scenarios to support modern data warehousing architecture ...

some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firms ...

production-ready DBT models using best-practice dimensional modelling Integrating multiple data sources into high-quality, analytics-ready datasets Enabling self-service analytics through semantic layers and standardized metrics Enriching data for AI, LLM, and natural language query (NLQ) applications Driving platform improvements through monitoring, feedback loops, and roadmap … dimensional modelling (Kimball or similar methodologies) Experience working with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Familiarity with AI/LLM concepts, semantic layers, NLQ tools, and analytics CI/CD practices Next Steps This Analytics Engineer role is already attracting strong interest and is unlikely ...

working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows click apply for full job details ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence click apply for full job details ...

working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows. This role sits at the heart of that capability. It’s not a traditional reporting or BI data … years) Excellent Python and SQL skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

Looking for a role with real impact rather than endless firefighting? You will design, build and maintain ETL and ELT pipelines , lakehouse structures and semantic models using Microsoft Fabric’s Dataflows Gen2, Notebooks, Spark SQL and Python. Your work will ensure data is accessible, trusted and well governed across … across data quality, lineage, observability and compliance. What you’ll be doing Building end‑to‑end data pipelines and Fabric‑based lakehouse solutions. Creating semantic layers using star schema modelling and DAX. Embedding monitoring, lineage and data quality into pipelines. Integrating data from APIs, CRM/ERP systems ...

working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows. This role sits at the heart of that capability. It's not a traditional reporting or BI data … years) Excellent Python and SQL skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firms … prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows Ontology and knowledge modelling literacy to enable precise reasoning and data alignment Integrations and automation via APIs, tools and enterprise systems Prompt engineering ...

Lead AI Engineer (LLM & Agentic) Consulting Engineer Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm … prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows Ontology and knowledge modelling literacy to enable precise reasoning and data alignment Integrations and automation via APIs, tools and enterprise systems Prompt engineering ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...