1 to 25 of 170 Semantic Layer Jobs in England

manufacturing, fulfilment, and finance systems. We build on a modern, warehouse-native stack — Snowflake, dbt, and Dagster — and we're working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self-service tools, and AI assistants. This role exists to own analytical … domains end-to-end. Defining their metrics in the semantic layer with stakeholders, data modelling in dbt, and making sure a KPI resolves to the same trusted answer wherever it's consumed. The person we want You're an analytics engineer or data analyst with a rounded experience ...

compliance programs. To learn more about Comply, visit comply.com About the role Comply is looking for a Senior AI Data Engineer to turn our semantic data models into the knowledge graphs, vector search, and LLM-powered pipelines that make Comply’s financial and regulatory data genuinely AI-ready. Comply … providers across the US and beyond. The Comply Data Platform is a strategic initiative at the heart of that mission: a modern, cloud-native semantic layer built from the ground up—using JSON-LD as its semantic language—to power AI-driven insights, regulatory analytics, and next ...

compliance programs. To learn more about Comply, visit comply.com About the role Comply is looking for a Senior AI Data Engineer to turn our semantic data models into the knowledge graphs, vector search, and LLM-powered pipelines that make Comply’s financial and regulatory data genuinely AI-ready. Comply … providers across the US and beyond. The Comply Data Platform is a strategic initiative at the heart of that mission: a modern, cloud-native semantic layer built from the ground up—using JSON-LD as its semantic language—to power AI-driven insights, regulatory analytics, and next ...

Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster … some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position ...

experienced Analytics Engineer to join our data team to enhance our data-platform. This role will develop advanced analytics features into our transformations layer, optimise performance, and work with data engineers to ensure scalability and robustness. Candidates for the role will have proven expertise in developing complex and performant … data models, with a deep understanding of dbt Core or dbt Cloud and Snowflake. The ideal candidate will have experience managing semantic layer based BI tools, such as Omni or Looker. Key Responsibilities.. Develop advanced and performant SQL transformations in dbt to support complex analytics and reporting needs ...

questions that need real thought. You'll set the standards for how analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control, testing … confidently and safely for themselves Partner with the Data Science and Enterprise AI team to deliver AI-enabled self-service analytics, grounded in governed semantic views, so colleagues can query trusted data directly in natural language rather than waiting on bespoke reporting Insight and delivery Build and maintain lightweight ...

goes to the questions that need real thought.You'll set the standards for how analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control … questions confidently and safely for themselvesPartner with the Data Science and Enterprise AI team to deliver AI-enabled self-service analytics, grounded in governed semantic views, so colleagues can query trusted data directly in natural language rather than waiting on bespoke reportingInsight and deliveryBuild and maintain lightweight data products ...

executive reporting, merchant insights, finance automation, and AI/ML use cases — built on our Azure-centric stack and evolving toward a Lakehouse and semantic layer direction. Your Core Impact Design the Lakehouse: Build and own our unified data lake foundations, focusing on scalable ingestion, lifecycle management … optimised access patterns. Build the Semantic Layer: Implement “metrics-as-code” so KPIs like GMV and CAC are defined once and trusted everywhere. Engineer Robust Pipelines: Develop high-availability ETL/ELT flows across microservices, PSP/payment gateways, and CRM/Finance tools. Enable Product Innovation: Partner ...

turns customer goals into technical valid, commercially credible designs covering: Data Ingestion and Integration Storage and management Processing and Transformation Design of the Semantic Layer Data Sharing Delivery of AI-ready data Governance, security, observability and cost are designed in at every stage. They work closely with Solution …/ELT, transformation and orchestration approaches suited to the customer's scale, skills and operating model. Data Storage & Management - Design the logical storage layer, including open table formats, database selection, partitioning, retention and lifecycle management. Work with Hybrid Platforms architects, who own physical storage and infrastructure. Data Governance, Discovery ...

turns customer goals into technical valid, commercially credible designs covering: Data Ingestion and Integration Storage and management Processing and Transformation Design of the Semantic Layer Data Sharing Delivery of AI-ready data Governance, security, observability and cost are designed in at every stage. They work closely with Solution …/ELT, transformation and orchestration approaches suited to the customer's scale, skills and operating model. Data Storage & Management - Design the logical storage layer, including open table formats, database selection, partitioning, retention and lifecycle management. Work with Hybrid Platforms architects, who own physical storage and infrastructure. Data Governance, Discovery ...

data in Snowflake, and model it in dbt. Just as important, you will make that data AI-ready, with the metric definitions, documentation and semantic models that let AI tools and people alike get accurate, trustworthy answers. Our stack: We run a hybrid model: Amplitude for real-time product … slower, exact reporting. Data lands through Weld, Stitch and dltHub, orchestrated with Airflow. What You’ll Do AI-ready data: design the semantic layer and metadata (descriptions, metric definitions, business context) that let AI tools query our data accurately, and help move our reporting beyond Looker. Data stewardship ...

Great Lakes Data & BI team, responsible for building and maintaining data products within the Azure Databricks lakehouse, including Silver and Gold table transformations and semantic layer outputs, and for diagnosing and resolving data issues arising from the data intake platform. Reporting to the Data & BI Lead, the successful … with medallion architecture, and comfortable contributing technical input into modelling discussions alongside IT Experience with Databricks, including Delta Lake; familiarity with Unity Catalog and semantic layer/consumption-layer tooling is a plus (Power BI & Databricks Dashboards) Power BI experience, able to build and maintain dashboards ...

scaling phase. You will lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform, keep business-critical BI and semantic models reliable, improve data pipeline stability and monitoring, support CRM data integration, apply AI and automation to improve data engineering, reporting and analytics … provide senior technical leadership for data engineering delivery. Core responsibilities Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign ...

trusted and curated layers of the data ecosystem, ensuring data products are reliable, governed, reusable and fit for purpose. Data Modelling and Semantic Enablement Define and govern data modelling standards and semantic layer design principles that enable consistent, discoverable and trusted data products, supporting self-service analytics … such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products. Expertise in ETL and ELT frameworks for large-scale batch ...

schema fundamental to an FP&A analyst. Responsibilities: Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure — with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice … meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical ...

strong SQL and BigQuery expertise, GIS data knowledge, and telecommunications domain understanding. The ideal candidate is self-sufficient, stakeholder-facing, and capable of delivering semantic data models and analytical dashboards to support business decision-making. Job Description Role Overview Nextlink is seeking a highly skilled and experienced Data Analyst … data modeling, GIS data analysis, and telecommunications domain knowledge . This role requires a self-driven professional who can perform complex analytical investigations, design semantic data models, develop business intelligence dashboards, and work closely with stakeholders to deliver actionable insights that support strategic and operational decision-making. The Data ...

into reporting and metric pipelines, such as translation, classification, basic aggregation and preparing unstructured data. Evaluating output quality is part of delivery Expose the semantic layer to internal tools and agents through MCP and APIs, working with engineering on shared standards Prepare data for agentic tools, company-wide … that feeds high-stakes decisions. Priorities are set by final business impact. Who You Are You write expert SQL and have strong dimensional or semantic data modelling skills You write working Python, with tests and version control You've built metrics and semantic layers You have ...

About the role We are looking for a Senior Analytics Engineer to join Analytics & Insights, the team that owns Material Bank's analytics data layer, internal reporting, and data products that support our teams and brand partners. This is a hands-on technical role for someone who wants … will take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake anddbt, the dashboards, and the semantic layer and data products people use every day. You will own the analytics engineering for key areas of the business: understanding what needs ...

want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Build and operate the interface, semantic layer and controls that let AI agents work inside IFS software safely. Key responsibilities Design and build MCP servers (Model Context Protocol, the emerging … backward compatibility as first-class design problems. Build the write path that lets an agent safely change a customer’s operational data. Build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry ...

similar) and experience integrating with proprietary in-house metadata and event models. Proven design of federated (hub-and-spoke) metadata architectures: a central layer for identity, hierarchy and links, domain-level catalogues with rich local detail, and a clear contract between the two. Practical experience with data governance operating … models: ownership and stewardship roles, sensitivity classification, metadata quality measurement. Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution, knowledge graph modelling; design-level knowledge of graph databases. Strong consulting and client-facing skills: leading working sessions, defending design decisions ...

Modelling), you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day. From there, you'll spend your time … data models, getting the grain right first and building for the way the business will grow. Build the dbt layer. Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth. Champion quality. Make data quality, testing and documentation first ...

Modelling)**, you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day.**But the best models don't start … data models, getting the grain right first and building for the way the business will grow.**Build the dbt layer.** Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth.**Champion quality.** Make data quality, testing and documentation first ...

with. Experimentation rigour. Lead A/B tests, holdouts, sample sizing, and post-test analysis to support confident decisions. Own certified metrics and the semantic layer for your squad’s domain. Ensure metrics are consistent, documented, accessible, and trusted. Applied AI as a working tool. Use LLMs … would also be great if you have: Familiarity with AI evaluation patterns - eval sets, scorecards, guardrails for non-deterministic outputs. Working understanding of the semantic layer and certified metrics. Hands-on experience prototyping data-driven product features Experience as the data expert in an Agile squad alongside Product ...

agents understand IFS software and reason accurately over customer data, turning what the platform already knows about itself, plus deep industry expertise, into a semantic layer other engineers and agents can trust. Key responsibilities Design and build MCP servers (Model Context Protocol, the emerging standard for exposing application … first-class design problems. Build the write path that lets an agent safely change a customer’s operational data. Design and build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry by industry ...

agents understand IFS software and reason accurately over customer data, turning what the platform already knows about itself, plus deep industry expertise, into a semantic layer other engineers and agents can trust. Key responsibilities Design and build MCP servers (Model Context Protocol, the emerging standard for exposing application … first-class design problems. Build the write path that lets an agent safely change a customer’s operational data. Design and build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry by industry ...