1 to 25 of 26 Semantic Layer Jobs in England

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 ...

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. ...

DABs) Performance and cost optimisation in Databricks, including cluster policies, autoscaling, Photon/serverless, and Delta table optimisation (partitioning, Z-Ordering, OPTIMIZE/VACUUM) Semantic layer and metrics engineering experience: Designing and maintaining metrics views/semantic models Defining consistent business metrics for reuse Supporting self-service ...

exciting short-term opportunity. What You'll Do: Transform raw data into structured, reliable datasets for BI, reporting, and advanced analytics. Build semantic layers and curated data products for business users. Collaborate with stakeholders to translate requirements into scalable data solutions. Ensure data quality, governance, and consistency across platforms. ...

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 ...

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. ...

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 ...

/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 ...

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 ...

dashboards and chatbots, Lightdash allows data teams to use AI to create, update, and maintain analytics using code. With native dbt integration, a governed semantic layer, and the Lightdash MCP server, teams can build entire BI layers from their terminal, IDE, or CI workflows. Lightdash is built ...

analytics-ready data products that power business intelligence, reporting, and advanced analytics initiatives across the enterprise. You will play a key role in building semantic layers, defining KPIs, and ensuring data quality and governance across a modern cloud data platform. Key Responsibilities Design and implement scalable data models within … Databricks. Transform raw datasets into curated, analytics-ready data products using Delta Lake and Spark. Build and maintain semantic layers for business reporting. Translate stakeholder requirements into technical specifications. Define KPIs and controlled vocabulary across data products. Own reconciliation logic and ensure data consistency across teams. Optimise SQL queries ...

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 ...

SLAs/SLOs, testing, data contracts). Optimise storage and compute performance. Deploy pipelines using CI/CD and IaC. Deliver curated datasets and semantic layers for BI, analytics, and ML. Support ML feature engineering and model delivery. Define scalable data architecture patterns and integration designs (ingestion, storage, transformation … Pipelines, modernising SSIS workloads to ADF/SSIS IR). (Desirable). Automation and scripting skills (PowerShell or Python). Experience supporting Power BI, semantic models, or SSAS Tabular (Desirable). Familiarity with SQL monitoring and observability tools (Redgate, SentryOne, custom telemetry). (Desirable). Experience with metadata management ...

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 ...

action, comfortable operating in ambiguity and creating structure. You’ll bring: Proven leadership of multi-disciplinary data teams Experience delivering modern data platforms and semantic layers A track record of turning business demand into tangible data outputs Strong delivery discipline, clear communication and technical credibility Confidence to challenge constructively ...

bias to action, comfortable operating in ambiguity and creating structure. Youllbring: Proven leadership of multi-disciplinary data teams Experience delivering modern data platforms and semantic layers A track recordof turning business demand into tangible data outputs Strong delivery discipline, clear communicationand technical credibility Confidence to challenge constructively and hold ...

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 ...

growth! ROLES AND RESPONSIBILITIES: The Analytics Engineer will: -Design and build tested and documented data models in dbt -Optimise the build of the transformation layer for scalability -Work with multiple teams and stakeholders, including Data Analysts and Data Scientists to understand needs and turn them into solutions -Maintain data … Analytics Engineering or a related field -Technical experience with advanced modelling techniques in dbt -Understanding of ETL/ELT processes -Experience with BI semantic layers and data visualisation tools -Understanding of dimensional modelling, analytics and data warehousing principles best practices -Clear communication skills and ability to work with multiple ...

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 ...

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 ...