1 to 25 of 75 Semantic Layer Jobs in England

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 ...

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 ...

means a big push on our BI capabilities, covering new chart types, heatmaps, drilldowns and a reworked dashboard grid, plus targets and budgets, a semantic layer, and AI features including a chat over a customer's own data. What you’ll be doing Performance work. These are dashboards … transaction data, and speed is a feature. Targets and budgets: letting operators set goals per site, per revenue centre, and track against them. Our semantic layer, so metrics mean the same thing everywhere they're used. AI features: dashboard summaries, an AI chat over a customer ...

with business and technical stakeholders to shape solution design, governance, security and best-practice adoption. - Provide technical leadership across FDI deployments, data modelling and semantic layer configuration. - Lead the development and implementation of dashboard and enterprise reporting solutions. - Support the transformation of existing reporting and analytics capabilities into … strong experience in: - Oracle Fusion Data Intelligence (FDI) - Oracle Fusion Cloud Applications - Oracle Analytics Cloud (OAC) - Data analytics and enterprise reporting - Data modelling and semantic layer configuration - Reporting and dashboard solutions - Data integration strategies and architecture - Enterprise reporting and analytics transformations - Security, governance and Oracle Cloud best practices ...

managed data platform across multiple client brands. You'll work across the full data stack, from source connection through to the AI-powered query layer, deploying structured, repeatable data infrastructure that puts business intelligence directly into the hands of brand operators and investors. This is a hands-on technical … role with meaningful client exposure. You won't just build pipelines, you'll encode business logic into a context layer that makes AI genuinely useful on real commercial data. You'll deploy platforms for new brands, maintain and evolve existing ones, and help shape how we productise this capability ...

COPQ) and Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworks Uplift Existing Data - Uplift the metadata (semantic layer) of existing data to make it more valuable to users and AI applications (AKA "Brownfield" data enrichment) and Support AI and Natural ...

cloud-based Lakehouse platform using Microsoft Fabric Building scalable and reliable data pipelines using a Medallion architecture approach Designing robust data models and semantic layers across multiple business domains Establishing engineering best practices, governance frameworks and development standards Managing and developing a small team of data engineers Partnering with … stakeholders across the organisation to translate business requirements into scalable data solutions Enabling high-quality downstream reporting, analytics and Power BI semantic models Supporting long-term data innovation and AI initiatives across the organisation YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Strong expertise in dimensional data ...

failures Drive operational efficiency by eliminating the cost of poor data quality through common tooling, frameworks, and proactive control development Enrich the metadata and semantic layer of existing data assets to improve discoverability, usability, and value for AI applications and natural language query capabilities Accelerate adoption of mesh ...

Doing Business Intelligence & Reporting Develop engaging Power BI dashboards and reporting solutions for a variety of business functions. Create and manage semantic layers, datasets and reusable reporting assets. Build advanced DAX measures, calculations and business logic. Improve dashboard performance, scalability and end-user experience. Apply data security controls ...

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 ...

volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration ...

Azure environment. • Hands-on experience working with Databricks, or a strong desire to deepen expertise in it. • Expert understanding of data modelling principles and semantic layer concepts. • Experience working with Azure Data Factory or similar orchestration tools. • Ability to translate business needs into logical, scalable data models. • Comfortable … working across multiple data sources and handling pipeline design. • Experience with Power BI, including semantic models or Tabular Editor. • Curious, collaborative mindset with the ability to push back constructively and guide stakeholders. ...

vision and hands-on execution of our next-generation Object-Centric Data Fabric . You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data—including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role … optimization, and regulatory documentation. This allows you to focus on driving high-impact platform architecture. Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache ...

standard use cases. Design data ingestion architecture (batch, micro-batch, and streaming) with clear boundaries for system-to-system integration. Define architecture for the semantic layer and self-serve analytics infrastructure. Provide input to data squads for complex data products and support Data Product Managers and Data Engineers … platform roadmap from an architectural perspective, defining how the platform evolves over time (e.g.,SAP BW transition/retirement path, Databricks maturation, Datasphere integration layer decisions). Contribute to enterprise architecture governance forums, representing data platform considerations in broader technology decisions. Provide architectural input to vendor and tooling decisions ...

People Analytics strategies in the business. Job responsibilities Data ecosystem quality: Lead the continuous improvement of the People Analytics data ecosystem - including pipeline quality, semantic layer, and the data products we share with other teams. You will bring the rigour of an established data engineering team … machine learning or statistical modelling in a production context Exposure to AI product development, LLM tooling, or data applications Experience with data quality frameworks, semantic layers, or data observability tooling Prior experience working with HR, people, or workforce data Additional Information Bring all of you to work We create ...

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 ...

coordinate monthly financial reports for C-suite Create, maintain and optimise reporting for various different streams of cost information Use dbt and create semantic layers to inform AI enabled dashboards, reports, and visualisations Analyse and interpret data to track and improve commercial and operational performance Collaborate with supply chain ...

initiatives. We need someone who can take a vague question from leadership, figure out the underlying business problem, model the data, build the semantic layer, and deliver self-serve insights that actually make sense. Your Impact Act as a "data domain holder" for 2-3 subject areas (e.g. … executive scorecards, dependency health, investment mix, or DORA performance) from raw data to final stakeholder presentation. Design, build, and document semantic layers that outlast you, abstracting complex data from tools like Jira and GitHub into simple, self-serve reporting. Contribute to the Engineering team with development tasks and test ...

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 ...

technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure ...

company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business definitions Data quality controls You will ensure the warehouse becomes the trusted source for all business reporting. Data ...

support the longer-term adoption of Microsoft Fabric as the firm's data platform, providing input on HR data structures, mart design, and semantic layer requirements. Support people analytics requirements specific to a legal environment, including headcount by practice group, fee earner to support staff ratios, attrition analysis ...

with stakeholder management and consulting skills. Responsibilities include: Designing and delivering analytics solutions using Google Cloud, BigQuery, dbt and Looker Building scalable data models, semantic layers and analytics architectures Leading client workshops, requirements gathering sessions and technical discussions Advising stakeholders on analytics strategy, governance and best practice Managing multiple ...

expertise with stakeholder management and consulting skills.Responsibilities include: Designing and delivering analytics solutions using Google Cloud, BigQuery, dbt and Looker Building scalable data models, semantic layers and analytics architectures Leading client workshops, requirements gathering sessions and technical discussions Advising stakeholders on analytics strategy, governance and best practice Managing multiple ...

least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation ...