51 to 75 of 196 Semantic Layer Jobs in England

tailored to the regulatory, sovereignty, and resilience requirements of tier-one financial institutions- Guide customers on building AI-ready data estates: quality, lineage, governance, semantic layers, and retrieval frameworks that enable trustworthy AI grounding at scale- Advise on agentic system architecture — RAG, tool-use patterns, memory and state management ...

another CDC/replication tool feeding a warehouse from an operational database (MySQL, Postgres). Experience with Looker/LookML or another BI semantic layer. Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalogue data. Experience building or supporting AI/LLM-facing ...

portfolio companies.Experience with CDC/replication tools feeding a warehouse from an operational database (MySQL, Postgres)Experience with Looker/LookML or another BI semantic layer.Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalogue data.Experience building or supporting AI/LLM-facing data ...

Event completeness and coverage Cardinality drift Volume anomalies Identity and user stitching integrity Proactively identify and resolve issues before they impact experiments or reporting Semantic Layer Enablement Enable trusted behavioural metrics through: Databricks metric enabled views Power BI semantic models Ensure metrics are usable for: Self serve … data quality Nice to Have Experience supporting experimentation and A/B testing Knowledge of identity resolution and cross device tracking Power BI semantic modelling experience Experience enabling self serve analytics Interest in AI assisted analytics or metric driven agentsAdditional InformationEmployee discount (hello ASOS discount!) Employee sample sales ...

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 ...

reduce future failuresDrive operational efficiency by eliminating the cost of poor data quality through common tooling, frameworks, and proactive control developmentEnrich the metadata and semantic layer of existing data assets to improve discoverability, usability, and value for AI applications and natural language query capabilitiesAccelerate adoption of mesh data ...

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 ...

including identity resolution, consent management, and audience readinessDevelop event streams and triggers to support customer journey orchestration and real-time decisioningProvide structured datasets and semantic layers for dashboards and advanced analyticsImplement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliancePartner with analytics, MarTech, and marketing teams ...

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 ...

/CD with Platform (Repos, Git, deployment pipelines, Terraform Jobs/Infrastructure as Code).Analytics Engineering· Model curated gold datasets, dimensional models, and semantic layers for BI (Tableau/PowerBI).· Optimise SQL Warehouses for performance, concurrency, and cost; maintain versioned metric definitions.· Document tables with catalog cards (owner ...

business domains and platforms Visualization, BI & Data Product Delivery Partner with analytics and product teams to deliver high‐quality datasets, dashboards, and visualization‐ready semantic layers Translate business requirements into scalable data models and consumption patterns for operational and executive insights Support adoption of data products by ensuring performance ...

grade machine learning or generative AI solutions. Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation of agent behavior. Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics and AI use cases. Relevant AWS AI certifications, such ...

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. ...

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 … query 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 ...

experience working with some or all of the following technologies:Data Processing: Apache Spark/PySparkWorkflow Orchestration: Apache AirflowContainerisation: KubernetesCloud Platform: Microsoft AzureData APIs & Semantic Layer: CubeJSProgramming Languages: Python, SQLEssential Skills & ExperienceDegree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field.Minimum of 5 years … modern data warehouse architectures.Experience designing and building scalable, production-grade data pipelines.Desirable ExperienceExperience working within cloud-native Azure environments.Knowledge of modern analytics platforms and semantic data layers.Previous mentoring or technical leadership experience.ApplyIf you’re a passionate Senior Data Engineer looking to work on complex data challenges and build impactful ...

following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years … Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges ...

collaborative development and version control. Familiarity with reporting/BI tools like Looker. Preferred Qualifications Python expertise for automation, integration, and orchestration Experience with Semantic layers Experience with orchestration tools like Airflow. Knowledge of modern software engineering practices applied to data (e.g., modularity, code review, testing). Our Vision ...

what you build. We are looking for someone strong in the engine room of BI: advanced SQL Server, ETL, ERP data, data transformation, semantic modelling, advanced DAX and Power BI architecture – someone capable of owning the data and infrastructure behind enterprise reporting. The Role You will take technical ownership … Power BI environment and its underlying data infrastructure, working across enterprise datasets, semantic models, ERP data, SQL Server, ETL processes, gateways, dataflows and reporting architecture. Key responsibilities include: Design, build and maintain scalable Power BI semantic models and enterprise datasets Write, optimise and maintain complex SQL queries, views ...

authorization in one of 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 … cases.Model 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 with ...

intervention for 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 where … 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, evaluating technology ...

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 ...

most 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 ...

solve 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 in dbt, ensuring data ...

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 ...