1 to 25 of 35 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 ...

impact on how data empowers the organisation. THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. … Looker and BigQuery. Supporting a stakeholder-first approach to data usability and access. KEY SKILLS AND REQUIREMENTS Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design. Proficiency in SQL and dbt, with a strong understanding of data modeling best practices. Strong communication skills with ...

systems) to create a unified, well-modelled, and accessible data layer. Your responsibilities will include: Integrating and modelling operational data into a cohesive analytics layer Building and maintaining robust data pipelines Developing standardised data models using SQL and dbt (analytics engineering best practices) Designing and maintaining transformations aligned … semantic/reporting layer Identifying and resolving data quality issues, including duplicates and inconsistencies Creating clean, reliable datasets to support downstream reporting and analytics Building and supporting dashboards and reporting in Lightdash Supporting and enhancing the use of Lightdash across the business Collaborating with Ops, Data, Product ...

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 ...

requirements into robust, maintainable, and reusable data products Partner with stakeholders and Analytics Business Partners to deliver impactful data solutions Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating ...

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. ...

Engineering . Strong experience with SQL and relational databases . Hands-on experience building dashboards in Power BI . Experience designing data models and semantic layers for BI reporting. Knowledge of ETL tools or frameworks (SSIS, Azure Data Factory, Informatica, etc.). Experience with data warehouse platforms (e.g., Snowflake ...

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 ...

visualisation tools (Tableau/Power BI) Experience working in a regulated banking environment Ability to manage stakeholders at all levels Nice to Have dbt Semantic Layer/MetricFlow Banking domain knowledge (Retail, Risk, Finance ...

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 ...

agents frameworks like LlamaIndex, LangGraph, CrewAI, etc.). » Pragmatic understanding of LLM limitations (hallucinations, cost/latency trade-offs, permissioning, reliability). » Experience with semantic layers/domain ontologies (turning domain concepts into reusable structures).Comfort in enterprise tool stacks (M365/SharePoint/Teams) and integrating via APIs. ...

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. ...

will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high-quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for 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 ...

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 ...

source of truth for reporting, analytics, and regulatory insight. They require a Principal Data Modeler to lead the design and governance of the business semantic layer underpinning this platform. This is a senior, hands-on role focused on defining standards, driving consistency, and ensuring data models accurately reflect … authority for data modeling decisions across the programme. The role: Lead the design of enterprise-grade data models within Snowflake Define and govern business semantic models supporting BI, analytics, and regulatory reporting Establish and enforce modeling standards, naming conventions, and best practices Ensure consistent KPI and metric definitions across ...

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 ...

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 ...

candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role; we are looking for someone experienced in building analytical data models that define consistent business metrics … business stakeholders. Contribute to the development of reusable data assets and consistent analytical definitions. Support the evolution of the organisation's analytics data layer and self-service reporting capability. Essential Skills Advanced SQL skills with experience engineering complex analytical transformations. Proven experience building analytical data models used ...

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 ...

candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role; we are looking for someone experienced in building analytical data models that define consistent business metrics … business stakeholders. * Contribute to the development of reusable data assets and consistent analytical definitions. * Support the evolution of the organisation's analytics data layer and self-service reporting capability. Essential Skills * Advanced SQL skills with experience engineering complex analytical transformations. * Proven experience building analytical data models used ...