18 of 18 Semantic Layer Jobs in the North of England

growing brand runs on. You will own what happens to data once it lands in our data warehouse, including transformation in Dataform, modelling, the semantic layer, and the reporting the business runs on. This is one of two engineering roles we are hiring into the Business Intelligence team. … behind it reflect how the business wants to measure itself, and every metric means one thing. What you will be doing Own the transformation layer in Dataform end to end: the models, dependency graph, tests and documentation between raw BigQuery data and everything the business sees. Build the semantic ...

ownership of our internal reporting tools and partner-facing data products, including OSP Insights. By establishing robust evaluation frameworks and aligning semantic architecture with business outcomes, you will ensure our global partners and internal stakeholders derive maximum value from certified operational data. Key Responsibilities: Define and execute the group … analytics, using Claude and Model Context Protocol (MCP) to enable self-serve access to certified data. Collaborate with Analytics Engineering to shape the unified semantic layer migration onto dbt MetricFlow. Establish evaluation frameworks, telemetry, and logging to rigorously assess AI accuracy, system performance, and metric trust. ...

differentiated career path that is difficult to develop in a purely technology-focused role. Purpose of the roleResponsible for the finance data and ontology layer on which agentic solutions depend. Builds the entities, relationships, definitions, lineage and data contracts sourced from live ERP and EPM systems to a standard … that supports controlled and auditable agent behaviour. The role owns governed finance data products, semantic models and retrieval-ready data services that are secure, permission-aware, observable and suitable for AI, analytics and decision intelligence. ResponsibilitiesBuild and extend the finance ontology covering supplier, invoice, customer, receivable, journal, account, cost ...

future of travel with us About the RoleWe’re looking for an Analytical Engineer to help shape the trusted data models, metrics and semantic layers that power decision-making across On the Beach.This role sits at the intersection of data engineering, business intelligence and emerging AI capabilities. … Engineering, Analytics, Product, Commercial and Technology teams to create high-quality analytical data products.You’ll help define and maintain the business logic, metrics and semantic structures that sit between our data platform and the teams using data every day.You’ll be responsible for:Designing, building and maintaining trusted analytical ...

cloud data warehouse, dbt (or equivalent) and workflow orchestration, including incremental loading, safe reruns and performance tuning.Data modelling for analytics and BI: dimensional design, semantic layers and well-documented shared datasets.Ownership of a production data platform on a major cloud: deployment, infrastructure as code, permissions, monitoring, incident recovery ...

data warehouse, dbt (or equivalent) and workflow orchestration, including incremental loading, safe reruns and performance tuning. Data modelling for analytics and BI: dimensional design, semantic layers and well-documented shared datasets. Ownership of a production data platform on a major cloud: deployment, infrastructure as code, permissions, monitoring, incident recovery ...

looking for a Senior Data Analytics Engineer to own the analytics layer and become the main point of contact for data across the business.You’ll work closely with Product, Marketing, Finance and Operations to understand their data requirements, turn them into reliable models and metrics, agree priorities and clearly … leaders. You’ll also support the Data Analyst in working confidently with the data.You’ll be joining an established data platform with the ingestion layer already in place. Your focus will be on the modelling, analytics and reporting layer built on top of it.What You’ll Own:Data ...

looking for a Senior Data Analytics Engineer to own the analytics layer and become the main point of contact for data across the business. You'll work closely with Product, Marketing, Finance and Operations to understand their data requirements, turn them into reliable models and metrics, agree priorities … also support the Data Analyst in working confidently with the data. You'll be joining an established data platform with the ingestion layer already in place. Your focus will be on the modelling, analytics and reporting layer built on top of it. What You'll Own: Data ModellingOwn ...

adopting new tools, standards, and best practices. Key Responsibilities Design and develop data ingestion pipelines within Microsoft Fabric Data engineering, data modelling, and semantic layer design Develop engaging and insightful Power BI reports and dashboards Support the migration of an existing reporting estate into a modern Fabric platform ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

logic. You will also play a key role in expanding into Ecom Analytics Engineering as we build out reporting marts and establish a new semantic layer.Beyond technical delivery, you will act as a pivotal liaison between Analytics Engineering, Product, and commercial stakeholders to define, govern, and migrate core Ecom … translating complex or ambiguous business requirements into well-documented technical metric definitions.Solid understanding of data modelling concepts and experience collaborating with Analytics Engineering on semantic layers and reporting marts.Excellent stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.A self-starter mindset focused ...

logic. You will also play a key role in expanding into Ecom Analytics Engineering as we build out reporting marts and establish a new semantic layer. Beyond technical delivery, you will act as a pivotal liaison between Analytics Engineering, Product, and commercial stakeholders to define, govern, and migrate core … complex or ambiguous business requirements into well-documented technical metric definitions. Solid understanding of data modelling concepts and experience collaborating with Analytics Engineering on semantic layers and reporting marts. Excellent stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences. A self-starter mindset ...

role in developing high-quality, analytics-ready data across its modern data platform. This is an opportunity to take ownership of the curated data layer within a Databricks Lakehouse environment, translating complex business requirements into robust data models and transformation pipelines that support reporting, analytics, and business decision-making. … Responsibilities: Lead the design and development of curated, analytics-ready dimensional and semantic data models. Build, maintain and optimise complex SQL and PySpark transformation pipelines within Databricks. Define and maintain KPI definitions, conformed dimensions and consistent business logic across data domains. Ensure data quality, integrity, testing, observability and performance ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies.We are looking for candidates that have deep experience in one or more core capabilities below and wants to be a trail … blazer in reinventing Data Management & Governance for the AI era.AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies.Data Governance & Strategy: experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models.Data Quality ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies.We are looking for candidates that have deep experience in one or more core capabilities below and wants to be a trail … blazer in reinventing Data Management & Governance for the AI era.AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies.Data Governance & Strategy: experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models.Data Quality ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy: experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

foundations that make AI delivery faster, safer and easier to scale. Leading design and delivery teams to build AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analytics Designing and embedding engineering capabilities … human decision-makers, while supporting technology and platform decisions. Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices. Consulting & Client Leadership: Experience in consulting or client-facing roles, building trusted senior client ...