23 of 23 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 ...

Engineering to shape how data is structured, defined, and consumed across the business. You'll be responsible for designing and building the curated and semantic layers that sit between raw data ingestion and business consumption — the models that power self-serve reporting, BI tooling, and emerging AI and agentic … tools that rely on it. Responsibilities Design, build, and maintain curated data models in dbt across staging, intermediate, and mart layers Develop semantic layer definitions — metrics, dimensions, and business logic — that serve as a single source of truth for BI and analytics Translate business concepts and rules into ...

Snowflake Develop reusable data assets for downstream reporting and analytics Troubleshoot and resolve data quality or performance issues Improve the Reporting & Analytics Layer Design a clean, scalable semantic layer for reporting Standardise key business metrics and definitions Support transition away from legacy report-first design toward model ...

GenAI enablement, and agentic architectures 2. Data & AI Architecture Leadership Own end-to-end architecture across data and AI layers: Data ingestion, processing, modelling, semantic layer, and consumption AI platform integration (model lifecycle, feature engineering, inference pipelines) Design modern Lakehouse + AI architecture leveraging Azure and Databricks Define … + Power BI) Lead architecture and execution of: Azure Data Platform (ADF, Synapse, Fabric, ADLS) Databricks (Lakehouse, Delta, ML workflows, PySpark pipelines) Power BI (semantic models, enterprise dashboards, self-service BI) Drive adoption of: Metadata-driven architectures Automation, orchestration, and reusable frameworks Ensure separation and optimisation of data engineering ...

consistent understanding and reuse* Ensuring data models are optimised for Power BI consumption, including considerations for performance, aggregation, and usability* Supporting the design of semantic layers and ensure alignment between data models and reporting models* Working closely with Business Analysts and Power BI Developers to ensure data structures meet ...

engineers across squads Ensure alignment and compliance with data platform usage (warehousing, orchestration, transformation ways of working) Drive consistency in data modeling approaches and semantic layers for analytics products Champion data quality, observability, and governance practices Cross-Squad Alignment & Delivery Enablement Partner with product managers and tech leads ...

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 ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

Azure Data Factory Develop robust ETL/ELT pipelines working with APIs, databases and file-based data sources Design and maintain curated datasets, semantic layers and dimensional data models for reporting and analytics Optimise SQL queries and database performance Implement data quality checks, monitoring, lineage and observability processes Support ...

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 ...

Developing data-driven product features and data products Running A/B tests, holdouts, sample sizing and post-test analysis Owning certified metrics and semantic layer thinking for your squad’s domain Using LLMs and AI tools to speed up analysis, prototype ideas and support AI-augmented features … storytelling skills It would be a bonus if you have: Experience working as the data expert in an Agile product squad Exposure to semantic layers, certified metrics or metrics governance Experience prototyping data-driven product features Familiarity with AI evaluation, guardrails or non-deterministic model outputs A quantitative degree ...

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 ...

What Youll Be Doing Designing and building dashboards, reports and analytical datasets Defining and implementing KPIs and metric logic aligned to business definitions Developing semantic layers and reusable reporting models Validating data accuracy, consistency and business meaning Collaborating with stakeholders to shape analytics-ready data structures Driving standardisation … Data Engineering Proven experience creating trusted analytics outputs from curated datasets Strong understanding of KPI definition, metrics and business logic Experience working with semantic or dimensional models Exposure to governed, production-focused data environments Technical Skills: Advanced SQL KPI/metric design and governance Data modelling (dimensional/semantic ...

data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight Collaborate closely with stakeholders across the organisation to translate business requirements … skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms Experience working with ...

operations and commercial tea ms. Roles & Responsibili tiesDefine the technology stack and architecture for the organisation's enterprise data wareh ouseEstablish data modelling standards, semantic layers and reusable data setsOversee ETL pipelines across ERP, CRM and operational sys temsImplement data quality, governance and DataOps best pract icesLead and direct … inesExperience working with ERP and financial data environm entsExperience leading distributed, offshore or third-party delivery t eamsExperience defining data architecture, modelling standards and semantic la yersKnowledge of data governance frameworks, data quality controls and data stewardship princi plesWhat You GetHybrid working (3 days per week ...

growing hub-and-spoke data model, working closely with embedded data roles in product/platform squads while owning the central foundations: certified metrics, semantic layers, trusted insight, governance, standards and decision-support. What you’ll be doing: Leading and developing a team of data specialists Partnering with senior … commercial stakeholders across customer, pricing, marketing and finance Turning ambiguous business questions into clear, actionable insight Owning trusted data foundations, including certified metrics, semantic layers and insight standards Supporting AI and LLM-enabled access to data, with the right guardrails in place Driving better data culture, stronger decision-making ...

finance, operations and commercial teams. Roles & Responsibilities Define the technology stack and architecture for the organisation's enterprise data warehouse Establish data modelling standards, semantic layers and reusable datasets Oversee ETL pipelines across ERP, CRM and operational systems Implement data quality, governance and DataOps best practices Lead and direct … Experience working with ERP and financial data environments Experience leading distributed, offshore or third-party delivery teams Experience defining data architecture, modelling standards and semantic layers Knowledge of data governance frameworks, data quality controls and data stewardship principles What You Get Hybrid working (3 days per week ...