15 of 15 Semantic Layer Jobs in the UK excluding London

discovery and requirements definition phase. This engagement will focus on end-to-end delivery, including building the data warehouse, developing integration pipelines, creating the semantic layer, and delivering Power BI reporting aligned to established architecture and design. The source system is a mission-critical, always-on, globally connected … core system, ensuring efficiency across global time zones and 24/7 operations Build Power BI tabular models and datasets to form the semantic layer, including robust row-level security (RLS) Deliver: Layer 1 : Standard operational and management reporting Layer 2 : OLAP-style analytical capabilities ...

data products they need Contribute to data governance, cataloguing, access management and platform security (Analytics Engineer) Sit closer to the analyst side—transformation, modelling, semantic layer, metrics (Platform Engineer) Sit closer to the platform side—infra, tooling, developer experience for data practitioners (For Senior/Lead/Principal ...

team of data engineers (minimum 2) Work closely with stakeholders to translate business requirements into scalable data solutions Enable downstream analytics, including Power BI semantic models and dashboards Contribute to long-term AI and data innovation initiatives YOUR SKILLS AND EXPERIENCE: 6+ years' experience in data engineering Strong expertise … data modelling (dimensional modelling and semantic layer design) Hands-on experience with Microsoft Fabric and/or Azure data services Proven end-to-end delivery across the data lifecycle (through to visualisation) Experience managing or mentoring engineers Strong stakeholder engagement and communication skills Nice to have: Experience working ...

machine learning use cases in a structured, governed, and scalable way. This includes end-to-end accountability for data ingestion, transformation, lakehouse design, semantic modelling, and the development of reliable data products. The role ensures business data is accessible, consistent, and trusted, with clearly defined metrics that enable high … Manage ingestion, transformation and storage of data across the platform. Ensure the platform supports both analytical and AI/ML workloads. 2) Data Modelling & Semantic Layer Define and maintain core business metrics and calculations. Ensure consistent definitions across all datasets and outputs. Develop and manage semantic models ...

growth. What the role involves: Designing and building cloud-native data infrastructure that scales Building and maintaining reliable ingestion, transformation and orchestration pipelines Developing semantic models and governed data structures that people can trust Improving data quality, observability and lineage across the platform Contributing to architectural decisions and long … with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows Strong engineering judgement and the ability to balance long term ...

deliver a step-change in how insight is generated, distributed and consumed across the Group, moving to a unified, conversational, proactive AI insight layer built on the Central Data Layer (CDL).This role goes beyond traditional BI or analytics leadership. It requires redefining the paradigm of insight consumption … from "pull-based reporting" to "AI-driven push, nudging and decision support", enabled through semantic abstraction, conversational access, and multi-channel delivery.You will lead the development of the vision and associated architectures (including Claude-enabled interaction models), ensuring these are translated into production-grade, scalable capabilities adopted across ...

trusted partner to senior leaders, influencing at executive level. Experience defining and embedding end‐to‐end BI delivery methodologies. Strong understanding of data governance, semantic models and trusted data principles. Hands‐on experience delivering BI in an agile, iterative environment. Experience working within insurance or wider financial services data … reporting estates. Exposure to AI‐augmented analytics or automated insight generation. Experience leading BI teams through organisational change or consolidation. Familiarity with enterprise semantic layer technologies. Responsible Artificial Intelligence usage. What We Will Offer You Recognised and rewarded for a job well done, we have a range ...

Palantir Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applicationsOwn and evolve the enterprise ontology , defining object types, links, actions, and semantic relationships across clinical and operational domainsDesign scalable, modular, and governed data pipelines , following Foundry best practices (DRY principles, no circular dependencies)Integrate structured, unstructured … governance, operational apps)Strong understanding of healthcare datasets , including:EPR/PASFHIR/HL7Clinical coding and workforce dataProven experience in:Enterprise data modelling/semantic layer/ontology designDelivering within regulated environments (NHS, ICS, Government, or large healthcare providers)Strong stakeholder management and communication skills , with the ability ...

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 across clinical and operational domains Design scalable, modular, and governed data pipelines , following Foundry best practices (DRY principles, no circular dependencies) Integrate structured … Strong understanding of healthcare datasets , including: EPR/PAS FHIR/HL7 Clinical coding and workforce data Proven experience in: Enterprise data modelling/semantic layer/ontology design Delivering within regulated environments (NHS, ICS, Government, or large healthcare providers) Strong stakeholder management and communication skills , with ...

server-side event integration (cAPI, Enhanced Conversions, SKAN). Knowledge of the eSIM, telco, MNO/MVNO, or travel-tech landscape. Exposure to semantic layers, metrics-as-code, or KPI governance frameworks. Experience with privacy-first measurement strategies in the post-cookie, post-ATT world. Experience with cross-border ...

server-side event integration (cAPI, Enhanced Conversions, SKAN). Knowledge of the eSIM, telco, MNO/MVNO, or travel-tech landscape. Exposure to semantic layers, metrics-as-code, or KPI governance frameworks. Experience with privacy-first measurement strategies in the post-cookie, post-ATT world. Experience with cross-border ...

following would be an advantage: SaaS or enterprise data environments Data integration or ETL processes Git or other version control tools Familiarity with semantic layer tools such as Cube or LookM Why Apply? You'll be joining a highly collaborative team where your work directly influences product quality ...

Engineer positions—for upcoming roles across commercial, customer, product, finance, marketing and operations reporting. These are hands-on roles where you'll own the layer that turns warehouse data into the dashboards, semantic models and self-service tools the business actually uses to make decisions. You'll work … translate them into BI deliverables Design and build production-grade dashboards and reports in Power BI, Tableau, Looker or equivalent Develop and maintain semantic models (DAX, LookML, Tableau data models) that scale across the organisation Build and optimise data marts and reporting layers in the warehouse Write efficient ...

Azure Environment. Key Criteria: Strong knowledge of: Cloud-native data platforms (e.g., lakehouse, warehouse, streaming systems) Modelling approaches (medallion, dimensional, event-driven, semantic layers) Data governance frameworks and metadata tooling Data lineage, cataloguing, discovery, and documentation Data quality and observability tooling Data access/security patterns Skilled in standardisationcreating ...

/compute choices. Manage deployment across environments and support CI/CD and DataOps pipelines for releases and rollback. Build and certify trusted datasetsand semantic models so business users can safely explore data and build their own reports across whichever tools suit them such as Power BI, Fabric, Excel … Hands-on delivery with at least one modern cloud data platform, eg. Microsoft Fabric, Databricks, Synapse or BigQuery. Experience building governed self-service and semantic layers that enable other teams to report independently. Skills: Databricks Microsoft Fabric SQL Data Governance Azure Benefits: Bonus Flexitime Healthcare Career Progression Discount with ...