1 to 25 of 29 Remote/Hybrid Semantic Layer Jobs in the UK excluding London

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 ...

Strategy. The Data Scientist will strengthen how the Foundation uses Power BI, data science and AI to support better decisions, creating trusted reports, dashboards, semantic models and reusable datasets that help establish one version of the truth. Acting as a Data Services business partner across the Foundation, the postholder … with teams to understand analytical needs, defining requirements and translating business questions into clear analytical approaches. Design and develop trusted Power BI reports, dashboards, semantic models and reusable datasets, including star schemas, DAX measures, KPIs, calculation logic and documented business rules. Introduce AI in a practical, responsible and well ...

related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data accessibility and usability. Support self-service analytics capabilities through well ...

work across the full data and BI lifecycle, owning complex solutions from initial stakeholder engagement and requirements gathering through to pipeline development, data modelling, semantic layers and Power BI delivery. You'll have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark ...

trusted, accessible, and aligned with business objectives. Key Responsibilities: * Design and deliver scalable analytics and data engineering solutions. * Develop data models, transformation pipelines, and semantic layers. * Translate business requirements into robust, scalable data solutions. * Lead technical workshops and stakeholder discussions. * Drive data quality, testing, documentation, and governance standards. * Identify ...

standards, naming conventions, and documentation across the Corporate Data Intelligence domain* Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets* Act as the liaison between business domain owners and the data platform team**Your Profile – Ready to Join ...

design, build and scale modern analytics capabilities. Working across a broad range of industries, they partner with clients to deliver cloud-based analytics platforms, semantic modelling, governance frameworks and AI-enabled analytics solutions.The business has built a strong reputation through delivery excellence, long-term client relationships and deep expertise … trusted consultant throughout the project lifecycle.Responsibilities include: Delivering analytics and data engineering solutions using Google Cloud, BigQuery, dbt and Looker Designing scalable data models, semantic layers and reporting environments Leading technical discussions and workshops with client stakeholders Advising on analytics strategy, governance and self-service reporting capabilities Managing multiple ...

scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets to support company-wide decision making. YOUR SKILLS AND EXPERIENCE You will bring strong capability ...

scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets to support company-wide decision making. YOUR SKILLS AND EXPERIENCE You will bring strong capability ...

scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets to support company-wide decision making. YOUR SKILLS AND EXPERIENCE You will bring strong capability ...

scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets to support company-wide decision making. YOUR SKILLS AND EXPERIENCE You will bring strong capability ...

scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets to support company-wide decision making. YOUR SKILLS AND EXPERIENCE You will bring strong capability ...

scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets to support company-wide decision making. YOUR SKILLS AND EXPERIENCE You will bring strong capability ...

What they're looking for Must-haves 5+ years' experience in data analytics. Advanced SQL skills. Strong BI experience (ideally Looker, Omni, or similar semantic-layer tools). Experience building dashboards and self-serve analytics solutions. Strong stakeholder engagement and communication skills. Ability to independently structure and deliver ...

Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production … federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage ...

Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production … federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join us We are united by our values ...

framework Creating curated data models using dimensional modelling and Kimball methodologies Defining modelling standards, governance frameworks, and data feed specifications Supporting the design of semantic layers that enable reporting, analytics, and future AI use cases Collaborating closely with Data Engineers and Analytics Engineers in an agile delivery environment Producing … dimensions, and Kimball methodologies Experience designing and implementing Medallion Architecture frameworks Strong knowledge of Azure-based Data Lakehouse environments Experience creating curated and semantic data layers for analytical consumption Proven ability to develop architecture standards, governance frameworks, and modelling best practice Experience working across the full data lifecycle, from ...

continuing acquisition programme. Now we are building the technology that unites them: one AI-first tech stack - the Pulse Platform, with one data layer, and an AI-first client experience for one of the largest advice markets in the country. We're a people-first business where colleagues excel … care. We're obsessed with the client experience, naturally curious, and never stop striving for better. About the role Pivotal Insights is our data layer: a Microsoft Fabric platform bringing data from across the group - CRMs, finance, people and, in time, telephony, marketing and more - into one common data ...

transformation on large-scale Government projects: Data Engineer with strong hands-on expertise in Palantir Foundry to design + build scalable data pipelines, semantic models + data products. Working closely with data scientists, data analysts, product teams + stakeholders to deliver robust, production grade data foundations that support analytics … Workshop, Quiver). Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop ...

both current reporting and future analytical use cases. Key responsibilities include: Designing and governing enterprise-wide data models across Medallion Architecture layers. Creating curated semantic and analytical data models using dimensional modelling and Kimball methodologies. Defining data modelling standards, governance frameworks, and data feed specifications. Collaborating with Data Engineers … Modelling within large-scale enterprise environments. Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Designing and implementing Medallion Architecture frameworks. Building curated semantic layers within modern cloud data platforms. End-to-end data modelling from source systems through to analytics and reporting layers. Defining and implementing data ...

commercial impact. The Role * Drive innovation across analytics, identifying opportunities to leverage AI, automation, and modern analytics tooling. * Help define and implement strategies for semantic layers, self-service analytics, and metric governance. * Improve technical standards, ensuring analytics solutions are scalable, reliable, and consistent. * Partner with Data, Product, Engineering … engineering, data strategy, or a related field. * Advanced SQL and data modelling skills, with strong knowledge of modern analytics tools and platforms. * Experience developing semantic layers, metric frameworks, and self-service reporting capabilities. * Knowledge of tools such as dbt, MetricFlow, LookML, or equivalent technologies. * Strong understanding of analytics architecture ...

expertise and commercial acumen to shape enterprise‐wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice. YOUR ROLE This … technical direction and hold the delivery to account, without designing it yourself. Directing the design of AI‐ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information, and holding your architects to account on those decisions Assuring agentic architectures - interrogating ...

expertise and commercial acumen to shape enterprise-wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice.YOUR ROLEThis role … technical direction and hold the delivery to account, without designing it yourself.• Directing the design of AI-ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information, and holding your architects to account on those decisions• Assuring agentic architectures - interrogating ...