1 to 25 of 28 Permanent Semantic Layer Jobs in England

Assessments, Cases), aligning with the DSFS data model and existing Netezza structures. Produce the EDW logical and physical data models, dimensional models for the Semantic Layer, and Data Lake zone architecture (Bronze/Silver/Gold). Define Enterprise Semantic Layer design, including pre-computed aggregations … equivalent. Proficiency in dimensional modelling (Kimball methodology) and enterprise data modelling. Experience with Databricks (Unity Catalog, Delta Lake) or Snowflake on AWS. Knowledge of Semantic Layer design patterns: pre-computed aggregations, business-facing views, Tableau integration. Experience migrating from legacy EDW platforms (Netezza, Teradata, Oracle) to cloud-native ...

improve datasets within the warehouse · Ensure data is accurate, consistent, and trusted across the business Business Intelligence and Data modelling · Design and maintain the semantic layer within BI tools (e.g. Looker, ThoughtSpot, or similar) to provide consistent, trusted commercial metrics · Model and embed business logic … semantic layer to support revenue, funnels, and lifecycle analysis · Build, optimise, and maintain scalable dashboards and structured reports in BI tools, ensuring efficient query performance and accurate metric definitions. Stakeholder Collaboration & Data Enablement · Collaborate with product, marketing, sales, and operations teams to understand data requirements and translate them ...

cloud data warehouses Establish orchestration standards (Dagster or equivalent) Drive decisions across batch, streaming, and real-time pipelines Champion data modelling standards, semantic layers, and metric governance 🤖 AI & ML Enablement at Scale Architect data foundations supporting the ML lifecycle Design feature stores, embedding pipelines, and AI-ready datasets Enable ...

emerging tools. What you bring Expertise in Power BI. Strong SQL; Python or R is a bonus. Experience with data modelling (dimensional, star schema, semantic layers). Understanding of data pipelines and cloud platforms (AWS, Azure, Snowflake, GCP). Strong business acumen - able to turn strategy into analytics. ...

Python based ETLs and API integrations into Redshift Manage orchestration using GitHub Actions Ensure uptime, reliability, monitoring and data quality across all systems Analytics Layer Build and maintain dbt models that are clean, well structured and agent friendly Develop core business metrics, product telemetry, customer health signals and financial … KPIs Create a scalable semantic layer for LLMs to query reliably Predictive Analytics and Machine Learning Deploy lightweight production ready models including churn prediction, usage forecasting, anomaly detection and upsell indicators Implement monitoring and automate downstream workflows using model outputs Self Serve Data Products Build Looker dashboards ...

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 ...

agnostic best practices. Create and maintain data mapping artifacts to support analytics, integration, and migration initiatives. Establish modeling patterns suitable for lakehouse, medallion, and semantic-layer architectures. Ensure alignment between physical analytical models and enterprise semantic definitions. 2. BusinessTechnical Translation Act as the primary interface between business ...

within Microsoft Fabric and Azure Integrate data from third-party systems and internal platforms into the data lake environment Build scalable data models and semantic layers for business reporting Build and optimise SQL queries, data models and dimensional schemas for reporting Support the continued growth of the organisation ...

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. ...

Hybrid | AI-Native Consulting Environment £80,000-£90,000 + package Our client is a fast-growing, AI-native, engineering-led consultancy building advanced semantic, ontology-driven and agentic AI systems. As they deepen their data engineering capability, they are seeking a senior-level Data Engineer to design … semantically coherent knowledge that underpins intelligent systems. The Purpose of the Role You will build production-grade data pipelines explicitly aligned to ontologies and semantic models. Your work will ensure that entity definitions, relationships, taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready ...

high-quality, easy to understand, and well-documented. Create an environment that allows safe experimentation and innovation. Power BI & Analytics Leadership Lead on our semantic layer, data models, and Power BI architecture. Build and govern standard datasets used for: Executive reporting Self-service BI Data science ...

Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead ...

direction on architecture and tooling, without over-engineering Provide judgement on target-state architecture and the right pattern for the asset: warehouse or lakehouse, semantic layer, BI approach, integration method. Support major platform decisions (e.g. Snowflake vs Databricks), and ensure alignment with core business systems, including ...

Semantic Architect Location - Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance What Youll Do Design Ontologies: Develop and maintain ontologies using OWL/RDF to model enterprise data domains and relationships. Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data … sources. Semantic Querying: Develop and optimise SPARQL queries for advanced data retrieval and analytics. Ensure Data Quality: Implement semantic validation rules (e.g., SHACL, OWL constraints) for data integrity and interoperability. Integrate with Enterprise Systems: Embed semantic models into data pipelines, APIs, and enterprise workflows. Collaborate with ...

maintain data pipelines for a new reporting solution within the business. You'll be responsible for the build across ingestion, modelling and creating semantic layers using their GCP stack. Successful applicants will have experience with: Looker BigQuery GCP Gemini Exceptional candidates would have worked with: Retail Data ...

based mapping pipelines. * Creating high-fidelity 3D/HD maps suitable for repeated autonomous deployments. * Building robust spatial representations including occupancy grids, vector maps, semantic layers and environment models. * Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency. * Leading multi-sensor ...

based mapping pipelines. * Creating high-fidelity 3D/HD maps suitable for repeated autonomous deployments. * Building robust spatial representations including occupancy grids, vector maps, semantic layers and environment models. * Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency. * Leading multi-sensor ...

multi‐disciplinary squads across data engineering, analytics engineering, and business analysis overseeing the build of our bronze/silver/gold Lakehouse layers, certified semantic models, and shared data assets that enable self‐service analytics and enterprise insight. Working closely with our Insights & Analytics team, Data Governance Lead … scalable design across all data products. Delivery Leadership (Azure & Databricks Lakehouse) Lead cross‐functional squads building ingestion pipelines, Delta Lake tables, and Power BI semantic models. Drive Agile delivery, manage backlogs, and lead sprint ceremonies. Ensure reliability, observability, performance, and smooth handover into Data Platform Operations. Uphold design standards ...

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 ...

Systems & Data Design Lead design of knowledge ingestion pipelines: document parsing, chunking strategies, embeddings, metadata, lineage, freshness SLAs Architect vector search and hybrid retrieval: semantic + keyword, reranking, filtering, ACL-aware retrieval Ensure retrieval respects access control, PII handling, data residency, and auditability. 4) Production Engineering, Reliability & Cost … caching, batching Preferred/Nice-to-Have Skills Fine-tuning approaches: LoRA/QLoRA, instruction tuning, adapters, distillation (when appropriate) Experience with: Knowledge graphs, semantic layers, enterprise search Advanced evaluation: LLM-as-judge with safeguards, rubric scoring, adversarial testing MLOps/LLMOps toolchains: experiment tracking, feature stores, model registries ...

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 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 ...

doing Own and evolve the roadmap for enterprise data products across a large-scale analytics platform Design and shape data models, semantic layers, and reusable data products Work closely with engineering teams to deliver modern lakehouse architecture solutions Drive data governance, quality, lineage, and compliance standards across all data … Lake Streaming and batch processing Performance optimisation Unity Catalog/governance Strong understanding of data governance, lineage, metadata, and data quality frameworks Experience building semantic models and KPI frameworks for enterprise reporting Experience required 8+ years’ experience in enterprise-scale data, BI, or analytics environments Experience working across complex ...

Palantir, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications. Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships for clinical and operational domains. Design scalable, modular, and governed data pipelines following Foundry best practices (transform patterns, DRY architecture, no circular dependencies … development. Strong understanding of healthcare datasets (EPR, PAS, FHIR/HL7, clinical coding, operational and workforce data). Proven experience designing enterprise data models, semantic layers, or ontologies. Strong background working within regulated environments such as NHS trusts, ICSs, central government, or large healthcare providers. Excellent communication and stakeholder ...

Palantir, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications. Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships for clinical and operational domains. Design scalable, modular, and governed data pipelines following Foundry best practices (transform patterns, DRY architecture, no circular dependencies … development. Strong understanding of healthcare datasets (EPR, PAS, FHIR/HL7, clinical coding, operational and workforce data). Proven experience designing enterprise data models, semantic layers, or ontologies. Strong background working within regulated environments such as NHS trusts, ICSs, central government, or large healthcare providers. Excellent communication and stakeholder ...

Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications. Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships for clinical and operational domains. Design scalable, modular, and governed data pipelines following Foundry best practices (transform patterns, DRY architecture, no circular dependencies … development. Strong understanding of healthcare datasets (EPR, PAS, FHIR/HL7, clinical coding, operational and workforce data). Proven experience designing enterprise data models, semantic layers, or ontologies. Strong background working within regulated environments such as NHS trusts, ICSs, central government, or large healthcare providers. Excellent communication and stakeholder ...