1 to 25 of 191 Semantic Layer Jobs in England

modelling is at the heart of this role. You’ll shape the layered warehouse model, define the grains and conformed dimensions, and design the semantic layer that connects real business questions to reliable answers. You’ll own the architecture end to end, including data contracts with Engineering, multi … build on. What you’ll be doing Own the analytics data architecture end to end, including layers, modelling conventions, data contracts and the governed semantic layer. Build the foundational curated layer yourself, creating dimensional models with clear grain, conformed dimensions and the flexibility to answer cross-subject business ...

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 ...

Data Analytics – Associate Director – Semantic Data ModellerThe Chief Data Office (CDO) is seeking an Associate Director to join the Enterprise Data & Analytics team in our London office. The Enterprise Data & Analytics team reports to the Chief Data Officer and supports decision-making across Fitch Group through insights, analytics … drive revenue growth, product innovation, productivity gains, and stronger business performance. Within this global function, you will support the build-out of Fitch's semantic layer capability: the shared ontologies, data product semantics, and modelling standards that let structured and unstructured data across the business mean the same ...

commerce, 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. 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 wantYou're an analytics engineer or data analyst with a rounded experience in data modelling and engineering ...

compliance programs. To learn more about Comply, visit comply.comThe Role: We are looking for Senior AI Data Engineers to implement and operationalize Comply's semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This … hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. ...

confidence. To learn more about Comply, visit comply.com The Role We are looking for Senior AI Data Engineers to implement and operationalize Comply’s semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM‐powered pipelines. This … hands‐on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI‐ready data products are reliable, performant, and adopted in practice. ...

programs. To learn more about Comply, visit comply.com The Role: We are looking for Senior AI Data Engineers to implement and operationalize Comply’s semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This … hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. ...

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 ...

this and fix it. That means you'll set the standards rather than inherit them. No legacy team, no committee, no five-year-old semantic layer you're not allowed to touch. Which cuts both ways. Take our unit economics. Revenue per household is a commercial assumption rather … agree, and you'd build the reconciliation and automated checks that keep them agreeing as we scale. Make self-serve work properly. A clean semantic layer, sensible naming, documentation people actually read, and a small set of dashboards trusted enough that nobody builds their own version ...

rush to apply and ensure you use the time to submit a high quality, personalised application. About the roleGrowth Intelligence owns the commercial data layer that powers Pleo's GTM engine — acquisition, retention, propensity modelling, and customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial … Stack Data Analyst, you are the senior technical voice for commercial analytics at Pleo. You set the architectural direction for Growth Intelligence's analytics layer, define what good looks like for the team, and shape how GTM data is structured, governed, and consumed by people and increasingly ...

over 100 nationalities, all committed to delivering the future of business spending, together. Please note: About the role Growth Intelligence owns the commercial data layer that powers Pleo's GTM engine — acquisition, retention, propensity modelling, and customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial … Stack Data Analyst, you are the senior technical voice for commercial analytics at Pleo. You set the architectural direction for Growth Intelligence's analytics layer, define what good looks like for the team, and shape how GTM data is structured, governed, and consumed by people and increasingly ...

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 … take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake and dbt, 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 ...

Comply is seeking Senior AI Data Engineers to operationalize its semantic layer, turning ontological models into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. You will own semantic layer components, collaborate with application and data engineering teams, and ensure AI-ready data products ...

Comply is seeking Senior AI Data Engineers to operationalize its semantic layer—translating ontological models into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. You will own semantic layer components, collaborate with application and data teams, and ensure AI-ready data products are reliable ...

make sure the data is accurate and can be trusted before the business uses it. You’ll own our warehouse, our dbt project and semantic layer, and our Lightdash dashboards, all built as code rather than clicked together in a UI. You’ll decide what “right” means … Setting the direction of the platform with the Data Lead: what we build next, and why Owning our dbt project, the warehouse and the semantic layer that powers Lightdash and our AI tools: one consistent set of models the whole business reads from, with access scoped so people ...

between the two is where this role lives. As Senior Analytics Engineer, you will own a set of domains in our transformation layer (dbt and Snowflake) and make them genuinely dependable, well modelled, tested, documented and semantically rich enough that both a person and a machine … data‐engineering or software‐engineering background before moving into dbt — it adds rigour and variety to a team drawn mostly from the analytics side Semantic‐layer experience (Cube, Snowflake Semantic Views, dbt Semantic Layer) and an understanding of how governed metric definitions ...

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 ...

enjoys turning complex business challenges into scalable, trusted, and reusable data products. You'll play a key role in defining and building a governed semantic layer that enables self-service analytics, reporting, applications, and AI-driven solutions. Key Responsibilities Translate business requirements into well-structured data models, including … conformed dimensions, facts, and metric definitions. Design, build, and maintain transformation pipelines using dbt and Snowflake , orchestrated through Airflow . Create and manage semantic models and metrics layers to ensure consistent reporting and analytics across the organisation. Partner closely with business stakeholders to understand decision-making requirements and deliver ...

deploy secure, maintainable data models and transformations using modern data tools (e.g., SQL, Dataform) in Google Cloud Platform. Build, maintain, and govern the centralised semantic layer (e.g. LookML, or cloud data catalog metrics) to deliver consistent, trusted business definitions across all reporting platforms. Map enterprise domain ontologies into … Engineer you will have experience of: Data Modelling: Proven experience building and maintaining data models using recognised patterns (e.g., Kimball, Inmon, dimensional modelling). Semantic Layer Architecture: Hands-on experience building and managing centralised semantic layers, metrics tiers, or business abstraction layers in modern data tools. Business ...

Senior Data Engineer role. You'll work across the full stack of modern data engineering ranging from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling and you'll help shape the technical foundation that underpins our retail media platform at scale. … complex data challenges into reliable, scalable production systems. We're building a lot: a TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer serving Tableau and Looker Studio, Snowplow-based event attribution infrastructure, and agentic AI tooling for Post-Campaign Analysis. You'll have ...

9fin.Explain what's moving the numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards. Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers. … reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs. Modern BI with an integrated semantic layer — building self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).Engagement and event analytics — designing tracking/instrumentation and analysing behavioural ...

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 ...

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 ...

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 ...