1 to 25 of 26 Permanent Semantic Layer Jobs in England

enabling trusted reporting in tools such as Looker, Power BI, and Tableau. This is a hands on role with real influence over modelling standards, semantic definitions, and how data is consumed across the business. Key responsibilities Data modelling and transformation Design and build Kimball style dimensional models and gold … layer marts using dbt Develop and maintain dbt pipelines that are performant, tested, and easy to use Partner with Data Engineers to shape upstream data structures and improve handoffs from ingestion to modelling Implement data quality testing using dbt tests and expectations frameworks Semantic layer and analytics ...

help develop well-structured, reliable data models that power reporting, analytics, and decision-making across the organisation. You'll work across the full transformation layer, shaping clean, trusted datasets and helping bring clarity to complex raw data. If you want to deepen your dbt and SQL expertise, work with … ensure transformations are reliable and well-structured Contribute to data quality checks, testing suites, and documentation of models and pipelines Assist in shaping the semantic layer for BI tools, ensuring definitions, metrics, and logic align with business needs Collaborate with Analysts, Data Engineers, and product teams to clarify ...

analytics platform in line with the company's rapid growth. Qualifications & Experience Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong ...

including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data possibilities ...

data end to end. Responsibilities Analytics & Data Modelling Design, build, and maintain analytics-ready data models using SQL Define and maintain trusted metrics and semantic layers Translate business and analytical requirements into robust, reusable datasets Improve documentation and transparency of data flows and models Data Pipelines & Production Ownership Build ...

data end to end. Responsibilities Analytics & Data Modelling Design, build, and maintain analytics-ready data models using SQL Define and maintain trusted metrics and semantic layers Translate business and analytical requirements into robust, reusable datasets Improve documentation and transparency of data flows and models Data Pipelines & Production Ownership Build ...

reporting and analytics requirements. Design and deliver interactive dashboards, reports, and planning models using SAP Analytics Cloud. Architect scalable and performant data models and semantic layers in SAP Datasphere. Integration & Architecture Ensure seamless integration with S/4HANA modules (Finance, Ariba, SuccessFactors, Concur) and Azure Fabric. Define and implement … across Finance, Procurement, HCM, and Travel domains. Hands-on experience with Azure Fabric, data lakes, and cloud-native integration patterns. Expertise in data modeling, semantic layer design, and real-time data integration. Demonstrated ability to engage with end users, gather requirements, and deliver impactful reports and dashboards. Familiarity ...

reporting and analytics requirements. Design and deliver interactive dashboards, reports, and planning models using SAP Analytics Cloud. Architect scalable and performant data models and semantic layers in SAP Datasphere. Integration & Architecture Ensure seamless integration with S/4HANA modules (Finance, Ariba, SuccessFactors, Concur) and Azure Fabric. Define and implement … across Finance, Procurement, HCM, and Travel domains. Hands-on experience with Azure Fabric, data lakes, and cloud-native integration patterns. Expertise in data modeling, semantic layer design, and real-time data integration. Demonstrated ability to engage with end users, gather requirements, and deliver impactful reports and dashboards. Familiarity ...

gold layers. Apply Kimball methodologies to deliver clean, scalable data models. Implement data quality frameworks and testing strategies. Own the design of the semantic layer for BI tools such as Looker or Power BI . Promote self-service analytics and data literacy across the business. ...

lifecycle of data from the API source to the final dashboard. 1. Data Integration & Orchestration (ELT) Pipeline Architecture: You will own the ingestion layer, using Weld to pull data from Meta, Google Ads, Shopify, GA4, and other sources into BigQuery. Orchestration: You will manage the scheduling, dependencies, and monitoring … Python scripts/extractors to fetch data where out-of-the-box connectors fail or are not available. 2. Transformation, Quality & Observability (dbt) The Semantic Layer: You will build and maintain our dbt project. You will write modular, version-controlled SQL and document it in YAML files. Data ...

lifecycle of data from the API source to the final dashboard. 1. Data Integration & Orchestration (ELT) Pipeline Architecture: You will own the ingestion layer, using Weld to pull data from Meta, Google Ads, Shopify, GA4, and other sources into BigQuery. Orchestration: You will manage the scheduling, dependencies, and monitoring … Python scripts/extractors to fetch data where out-of-the-box connectors fail or are not available. 2. Transformation, Quality & Observability (dbt) The Semantic Layer: You will build and maintain our dbt project. You will write modular, version-controlled SQL and document it in YAML files. Data ...

solutions. Own and develop the organisation’s Power BI environment , enabling self‐service analytics and reporting. Build and maintain robust data pipelines, models, and semantic layers. Set technical direction, mentor a small team, and champion best practice in modern data engineering. Stay hands‐on while shaping the roadmap ...

architecture artifacts current (ArchiMate/Confluence). Define data integration patterns (batch/streaming) and canonical data contracts; set standards for APIs, events, and semantic layers. Drive data governance and observability (catalog, lineage, DQ rules, SLAs/SLOs) with tools such as Collibra/Purview; embed controls for privacy ...

architecture artifacts current (ArchiMate/Confluence). Define data integration patterns (batch/streaming) and canonical data contracts; set standards for APIs, events, and semantic layers. Drive data governance and observability (catalog, lineage, DQ rules, SLAs/SLOs) with tools such as Collibra/Purview; embed controls for privacy ...

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 ...

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. Suggest improvements for automation and cost savings. Lead changes across the organisation, adopting a decentralised design. Role: Principal ...

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. Suggest improvements for automation and cost savings. Lead changes across the organisation, adopting a decentralised design. Role: Principal ...

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. Suggest improvements for automation and cost savings. Lead changes across the organisation, adopting a decentralised design. Role: Principal ...

regulatory reporting, and ML pipelines Integrate data from diverse internal and external sources, including cloud services, APIs, and third-party systems Define and maintain semantic layers using tools such as DBT and Delta Live Tables, ensuring consistency across dashboards and analytics tools Enable data products that support … fraud, policy, and quote data High proficiency in SQL and cloud-native tools such as Databricks, Snowflake, and AWS environments Hands-on experience delivering semantic layers using DBT and building analytics-friendly data structures Experience working with streaming and batch pipelines and exposure to the tools that support them ...

regulatory reporting, and ML pipelines Integrate data from diverse internal and external sources, including cloud services, APIs, and third-party systems Define and maintain semantic layers using tools such as DBT and Delta Live Tables, ensuring consistency across dashboards and analytics tools Enable data products that support … fraud, policy, and quote data High proficiency in SQL and cloud-native tools such as Databricks, Snowflake, and AWS environments Hands-on experience delivering semantic layers using DBT and building analytics-friendly data structures Experience working with streaming and batch pipelines and exposure to the tools that support them ...

orchestration, prompt frameworks, and evaluation loops Build multi-agent systems (planning, tool use, safety constraints, monitoring) Implement retrieval and vector-based architectures (RAG, embeddings, semantic workflows) Apply ontology and knowledge-modelling concepts for more precise reasoning Integrate APIs, tools, and enterprise systems Set the technical direction for your delivery … ability to ship production-grade code Experience with at least one major AI cloud ecosystem (AWS, Azure/OpenAI, GCP, Anthropic, etc.) Literacy in semantic modelling or ontology-driven thinking Comfortable in client-facing, delivery-focused environments You’re Likely Someone Who Is: AI-native and deeply hands ...

orchestration, prompt frameworks, and evaluation loops Build multi-agent systems (planning, tool use, safety constraints, monitoring) Implement retrieval and vector-based architectures (RAG, embeddings, semantic workflows) Apply ontology and knowledge-modelling concepts for more precise reasoning Integrate APIs, tools, and enterprise systems Set the technical direction for your delivery … ability to ship production-grade code Experience with at least one major AI cloud ecosystem (AWS, Azure/OpenAI, GCP, Anthropic, etc.) Literacy in semantic modelling or ontology-driven thinking Comfortable in client-facing, delivery-focused environments You’re Likely Someone Who Is: AI-native and deeply hands ...

Deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm’s long-term engineering capability. Responsibilities: You will design … patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured reasoning, and semantic workflows. Ontology & knowledge modelling literacy , enabling more precise reasoning and data alignment. Integrations & automation , including API workflows, tools, and enterprise connectors. Skills ...

Deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm’s long-term engineering capability. Responsibilities: You will design … patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured reasoning, and semantic workflows. Ontology & knowledge modelling literacy , enabling more precise reasoning and data alignment. Integrations & automation , including API workflows, tools, and enterprise connectors. Skills ...

advance scalable LiDAR- and vision-based mapping pipelines. • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models. • Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs. • Deliver large-scale capabilities like multi-session mapping … ensure stable, drift-free deployment performance. • Define KPIs and validation frameworks for map accuracy, completeness, and consistency. • Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems. • Set best practices and technical standards to support future team growth. Experience required • MSc/ ...