76 to 88 of 88 Remote/Hybrid Semantic Layer Jobs

Standardise existing dashboards and prepare them for client release. Develop and support CI/CD pipelines for Fabric deployments. Build and maintain data models, semantic layers and datasets. Analyse data to identify trends, quality issues and reporting gaps. Work with technical and non-technical stakeholders to gather requirements … documentation. Essential experience Strong hands-on Power BI experience, including DAX and data modelling. Working knowledge of Microsoft Fabric, including Lakehouse, Dataflows, Pipelines and semantic models. Experience implementing CI/CD practices for Fabric or Power BI deployments, ideally using Azure DevOps. Strong data analysis and data visualisation skills. ...

usage across the Lending domain.Principal AccountabilitiesData Product OwnershipOwn and evolve the Lending data model across BigQuery and LookerDeliver standardised, scalable data models (gold + semantic layers)Ensure data models accurately reflect lending business logic and requirementsDrive data quality, validation, and consistency across datasetsTechnical LeadershipDefine and implement best practices … organisation’s transition to GCP and Looker platformsPersonal Attributes & ExperienceTechnicalStrong SQL and data modelling experience (BigQuery or similar preferred)Experience working with BI semantic layers (Looker preferred)Proven ability to design and deliver scalable data modelsDomain & Problem SolvingStrong understanding of data flows across complex systems (particularly lending or financial ...

role will play a critical part in moving Cluttons towards a fully integrated data environment, combining multiple data sources into a consistent reporting layer and delivering actionable insight to leadership. This is a hands-on leadership role, combining strategic design, technical delivery and stakeholder engagement. You will be positioned … lifecycle management. Lead the implementation and use of Microsoft Fabric as the core data platform. Define and manage data ingestion, transformation, modelling and semantic layers. Ensure compliance with information security and regulatory requirements. Reporting & Insight Deliver a standardised reporting suite covering pipeline, timesheets and financial performance across all business ...

intelligence platforms.Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.Partner with data, BI, and technology teams to optimise semantic models for AI readiness.Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.Contribute to the organisation … Applied Analytics, or a related field.Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.Deep understanding ...

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 ...

architecture strategy across a modern Azure Data Lakehouse environment Design and govern enterprise-wide data models across Medallion Architecture layers Create scalable curated and semantic data models using dimensional modelling and Kimball methodologies Define data standards, governance frameworks and modelling best practices across the platform Work closely with Data … Data Architecture experience within enterprise-scale environments Extensive experience with dimensional modelling, star schemas, facts, dimensions and Kimball methodologies Experience designing curated and semantic layers within modern cloud data platforms Strong understanding of Medallion Architecture and Azure-based Data Lakehouse environments Experience establishing governance, standards and data architecture best ...

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 ...

ensure AI use cases are built on the right data foundations. Understand data readiness for AI, including structured data, unstructured data, document ingestion, semantic layers, vector search, permissions and governance. Business Development Support Managing Directors in business development and origination activity across the UK and Europe. Contribute to qualified … Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and related enterprise tooling. Understanding of the data foundations required for AI, including structured data, unstructured data, semantic layers, vector search, permissions and governance. Knowledge of safe and scalable AI delivery, including identity, access, environments, observability, evaluation, auditability and responsible AI controls. Experience ...

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 ...

Architecture layers. Building scalable dimensional models using Kimball methodologies and star schemas. Defining modelling standards, governance frameworks, and best practices. Designing and maintaining curated semantic layers for reporting and analytics. Collaborating with Data Engineers, Analytics teams, and senior stakeholders across the business. Producing architecture artefacts, data models, documentation … experience. Expertise in dimensional modelling, facts and dimensions, and Kimball methodologies. Experience working with Medallion Architecture and Azure-based data platforms. Strong understanding of semantic layers and modern cloud data environments. Experience establishing governance, modelling standards, and architecture best practice. Ability to influence stakeholders and communicate technical concepts effectively. ...

empower 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 manager … decomposition, 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 entities ...

will lead the development of trusted data foundations that make AI delivery faster, safer and easier to scale.Designing AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analyticsShaping agentic architectures and engineering capabilities … processes and human decision-makers, while guiding technology and platform decisions.Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices.Consulting & Client Leadership:Significant experience in consulting or senior client-facing roles, acting ...