26 to 50 of 51 Semantic Layer Jobs in the UK

warehouse to Google Cloud Plat formReduce technical debt and improve performance across the existing Tableau es tateContribute to the development of AI enabled and semantic layer driven analy tics Your Skills and Experi ence:Strong commercial experience with Tableau, including dashboard and data source develo pmentAdvanced SQL skills ...

nPython, pandas and SQL in Jupyter notebooks for analysis\ Ndbt and Databricks data platform with Delta Lake\ NLightdash as our BI tool and semantic layer\ NStreamlit for interactive data applications\ NAirflow for orchestration\ NKubernetes for application deployment\ NCI/CD with GitHub and CircleCI\ NInfrastructure on AWS, deployed ...

cloud (GCP, BigQuery, Looker data lake). These standards will include BiqQuery Layout - naming standards, key consistency, suffix standards, data set layering etc Looker Semantic Layer - user view definitions, dimensions grouping, aggregation definitions, hidden join management MetaData and Documentation - Looker and BQ field description standards Schema Design standards … flattened views, deterministic types, order consistency, semantic description, enum constraints etc Partitioning and clustering standards Policy Tags Star Schema Design standards Our client will also need to understand how to implement these standards as code and how they monitor adherence as their data engineering supplier builds the data products. ...

Business to ensure analytics is embedded in every decision Drive "Data as a Product" , owning the evolution of our data models and semantic layer, ensuring teams can reliably self‐serve from high‐quality data products Champion governance and guardrails , establishing rigorous standards for modelling, semantics, testing, and auditability ...

Engineer positions—for upcoming roles across commercial, customer, product, finance, marketing and operations reporting. These are hands-on roles where you'll own the layer that turns warehouse data into the dashboards, semantic models and self-service tools the business actually uses to make decisions. You'll work … translate them into BI deliverables Design and build production-grade dashboards and reports in Power BI, Tableau, Looker or equivalent Develop and maintain semantic models (DAX, LookML, Tableau data models) that scale across the organisation Build and optimise data marts and reporting layers in the warehouse Write efficient ...

Azure Environment. Key Criteria: Strong knowledge of: Cloud-native data platforms (e.g., lakehouse, warehouse, streaming systems) Modelling approaches (medallion, dimensional, event-driven, semantic layers) Data governance frameworks and metadata tooling Data lineage, cataloguing, discovery, and documentation Data quality and observability tooling Data access/security patterns Skilled in standardisationcreating ...

solutions that drive business outcomes. Responsibilities Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement Ensure data quality, consistency, deduplication, and optimisation for analytics … resolution, consent management, and audience readiness Develop event streams and triggers to support customer journey orchestration and real-time decisioning Provide structured datasets and semantic layers for dashboards and advanced analytics Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance Partner with analytics, MarTech ...

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 ...

/compute choices. Manage deployment across environments and support CI/CD and DataOps pipelines for releases and rollback. Build and certify trusted datasetsand semantic models so business users can safely explore data and build their own reports across whichever tools suit them such as Power BI, Fabric, Excel … Hands-on delivery with at least one modern cloud data platform, eg. Microsoft Fabric, Databricks, Synapse or BigQuery. Experience building governed self-service and semantic layers that enable other teams to report independently. Skills: Databricks Microsoft Fabric SQL Data Governance Azure Benefits: Bonus Flexitime Healthcare Career Progression Discount with ...

modern analytics engineering (DBT, Snowflake, Fivetran or equivalent) and can provide strong technical oversight without being hands-on day-to-day. Working knowledge of semantic layers and understand how they underpin reliable, consistent data access, including enabling AI tooling If the above is of interest, please apply with ...

only for measurement strategy but also for helping shape the future customer and marketing technology ecosystem. Major investment is underway across customer platforms, semantic layers, data infrastructure and marketing technology, requiring an individual who is equally comfortable discussing econometric methodologies, technology architecture and commercial outcomes. Perhaps most interestingly ...

long-term operating model for Consumer Data Science as the organisation continues its transformation. The wider business is investing heavily across customer platforms, semantic layers, data infrastructure and enterprise transformation programmes, requiring an individual who is equally comfortable discussing modelling approaches, technology architecture and commercial outcomes. Perhaps most compellingly ...

data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight Collaborate closely with stakeholders across the organisation to translate business requirements … skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms Experience working with ...

What Youll Be Doing Designing and building dashboards, reports and analytical datasets Defining and implementing KPIs and metric logic aligned to business definitions Developing semantic layers and reusable reporting models Validating data accuracy, consistency and business meaning Collaborating with stakeholders to shape analytics-ready data structures Driving standardisation … Data Engineering Proven experience creating trusted analytics outputs from curated datasets Strong understanding of KPI definition, metrics and business logic Experience working with semantic or dimensional models Exposure to governed, production-focused data environments Technical Skills: Advanced SQL KPI/metric design and governance Data modelling (dimensional/semantic ...

investment to business priorities. Nice to Have Experience in a marketplace, e‐commerce, grocery or retail analytics context. Familiarity with federated data architecture patterns, semantic and metrics layer tooling, or Python for data automation and pipeline work. Exposure to or research of AI for Data, including semantic ...

Programme as we replace our BW/BPC landscape with SAP Datasphere and Business Data Cloud (BDC) with SAC as the reporting and planning layer, as part of our S/4HANA transformation. This role is offered as a two-year fixed term contract, running from greenfield platform design … everything is built from scratch, making early design decisions critical. You must be proficient with SAP Datasphere; space design, data flows, replication flows, and semantic modelling. You’ll also be charged with developing the standards, documentation, and approach to gathering data requirements. Whilst a big part of the role ...

Programme as we replace our BW/BPC landscape with SAP Datasphere and Business Data Cloud (BDC) with SAC as the reporting and planning layer, as part of our S/4HANA transformation. This role is offered as a two-year fixed term contract, running from greenfield platform design … everything is built from scratch, making early design decisions critical. You must be proficient with SAP Datasphere; space design, data flows, replication flows, and semantic modelling. You ll also be charged with developing the standards, documentation, and approach to gathering data requirements. Whilst a big part of the role ...

measurement standards. Build and oversee a product data and metrics capability that enables consistent KPI/OKR definition, metric governance (definitions, owners, calculation logic), semantic layers, dashboarding, reporting automation, and actionable performance insights across the product portfolio.Build and mature product analytics tooling (dashboards, self-service reporting, metric semantic … product context and capabilities across teams.Demonstrated technical fluency in product analytics and reporting (e.g., SQL, KPI/metric design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams.Familiarity with AI/ML-enabled tools and practical applications that support ...

measurement standards. Build and oversee a product data and metrics capability that enables consistent KPI/OKR definition, metric governance (definitions, owners, calculation logic), semantic layers, dashboarding, reporting automation, and actionable performance insights across the product portfolio. Build and mature product analytics tooling (dashboards, self-service reporting, metric semantic … context and capabilities across teams. Demonstrated technical fluency in product analytics and reporting (e.g., SQL, KPI/metric design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams. Familiarity with AI/ML-enabled tools and practical applications that ...

measurement standards. Build and oversee a product data and metrics capability that enables consistent KPI/OKR definition, metric governance (definitions, owners, calculation logic), semantic layers, dashboarding, reporting automation, and actionable performance insights across the product portfolio. Build and mature product analytics tooling (dashboards, self-service reporting, metric semantic … context and capabilities across teams. Demonstrated technical fluency in product analytics and reporting (e.g., SQL, KPI/metric design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams. Familiarity with AI/ML-enabled tools and practical applications that ...

measurement standards.\ NBuild and oversee a product data and metrics capability that enables consistent KPI/OKR definition, metric governance (definitions, owners, calculation logic), semantic layers, dashboarding, reporting automation, and actionable performance insights across the product portfolio.\ NBuild and mature product analytics tooling (dashboards, self-service reporting, metric semantic … context and capabilities across teams.\ NDemonstrated technical fluency in product analytics and reporting (e.G., SQL, KPI/metric design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams.\ NFamiliarity with AI/ML-enabled tools and practical applications that ...

standards. \n Build and oversee a product data and metrics capability that enables consistent KPI/OKR definition, metric governance (definitions, owners, calculation logic), semantic layers, dashboarding, reporting automation, and actionable performance insights across the product portfolio. \n Build and mature product analytics tooling (dashboards, self-service reporting, metric … semantic layers, and standardized data products) in partnership with Data/Engineering; define requirements, ensure usability, and drive adoption across product teams. \n Support AI enablement for Product by identifying practical use cases, supporting responsible adoption, and embedding AI tools and workflows that improve product strategy, discovery and planning ...

growing hub-and-spoke data model, working closely with embedded data roles in product/platform squads while owning the central foundations: certified metrics, semantic layers, trusted insight, governance, standards and decision-support. What you’ll be doing: Leading and developing a team of data specialists Partnering with senior … commercial stakeholders across customer, pricing, marketing and finance Turning ambiguous business questions into clear, actionable insight Owning trusted data foundations, including certified metrics, semantic layers and insight standards Supporting AI and LLM-enabled access to data, with the right guardrails in place Driving better data culture, stronger decision-making ...

self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context. Partnering with your product … experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable by AI systems: clean ...

data literacy for PMs, design researchers and engineers.\ N\n\nDesign LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context.\ N\n\nPartnering with … inference, or product opportunity sizing.\ N\n\nData product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets.\ N\n\nLLM-ready data thinking: You understand what makes data usable ...