51 to 75 of 179 Semantic Layer Jobs in England

these countries. Office access available in London, Dublin, and Lisbon. Here's how you'll make a difference: Own the transformation layer in dbt- design, build, and maintain modular, well-tested data models that define how data is structured and consumed across the company. Define and implement core business … complex SaaS data by integrating product events, CRM (Salesforce), and support data into clean, well-defined fact and dimension models. Build and evolve our semantic layer- creating a reliable abstraction over our data that enables consistent KPI definitions and supports downstream consumers, including LLM-based analytics agents. Collaborate ...

ambitious People Analytics strategies in the business. Job responsibilitiesData 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 … Experience with machine learning or statistical modelling in a production contextExposure to AI product development, LLM tooling, or data applicationsExperience with data quality frameworks, semantic layers, or data observability toolingPrior experience working with HR, people, or workforce dataAdditional InformationBring all of you to workWe create the conditions for high ...

complex business problems through data, from understanding requirements to delivering analytical solutions . Translate business needs into clear and scalable data models and our semantic layer , ensuring technical solutions align with our long-term platform design and methodologies . Build and maintain robust data transformations and models ...

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 ...

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. ...

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 ...

strategic 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 ...

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 ...

depending on experience. You will own complex data/BI solutions from stakeholder engagement through to pipeline development, data modelling, semantic layers and Power BI delivery. This role focuses on building a modern data platform using Azure Databricks, Python, PySpark and SQL, tying together marketing, sales and operations data ...

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 ...

Feature stores, ML data pipelines, model monitoring, or other MLOps capabilities.• Infrastructure as code and container platforms, including Terraform, Docker, or Kubernetes.• Data catalogs, semantic layers, master data management, or metadata-driven governance.• Experience with ecommerce, marketplaces, auctions, GDPR, privacy controls, or regulated data environments.How success will be measured ...

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 ...

credentials and adjacent platform experience will be considered. The Work Architecture & Design Design and document multi-agent architecture blueprints, agentic orchestration patterns, knowledge and semantic layer blueprints, AI governance blueprints, and AgentOps/LLMOps architecture Design the knowledge architecture underpinning agent intelligence: embeddings pipelines, vector retrieval, and semantic search — structured around commerce-specific intent, product relationships, and category hierarchies Architect the integration layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across ...

numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across systems. Our CRM, ledgers, operational tools, and compliance systems each hold part … keys and different definitions. Resolving them into one coherent model is central to the role. Leading our Lightdash to Omni migration , then owning the semantic layer and everything built on it. Regulatory and compliance reporting. Recurring submissions and the models behind them, against externally fixed deadlines. Partnering with ...

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 ...

modelling, testing, and documentation standards the data function depends on. You will innovate on how people work with data, building the agentic tooling and semantic modelling that let teams across Planday work from trusted data with confidence. What You’ll Do Set the architectural direction of our data platform … analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer, and quality standards the data function depends on, with the validation and lineage to make them trustworthy downstream. Own orchestration and observability ...

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 ...

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 ...

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 ...

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 ...