1 to 25 of 28 Permanent Semantic Layer Jobs

into production-ready AI solutions. Youll shape intelligent agents, craft next-generation conversational experiences using Microsoft Copilot and Databricks Mosaic AI, and architect the Semantic Layer that ensures our models deliver accurate, trusted insights every time. If youre ready to take ownership of an organisations AI futureand build … reason over proprietary SMS documents and data. Integrate AI agents with enterprise systems (Dynamics 365, SharePoint, etc.) via APIs and Power Automate connectors. Semantic Modelling & Databricks Genie Curation Own the creation and maintenance of Databricks Genie Spaces. This involves translating complex database schemas into business-friendly semantic models. ...

Overview We are seeking a Senior Data Modelling Specialist to take ownership of enterprise-level data models and semantic design within a complex, multi-domain data environment. This role is pivotal in bringing clarity, structure and consistency to how data is defined, modelled and consumed organisation-wide. Please note … standards. Design and maintain: Conceptual, Logical and Physical Data Models. Entity Relationship Diagrams (ERDs). Common/canonical data models. Define and govern the semantic layer underpinning reporting and analytics. Act as the modelling authority across multiple business domains. Translate complex business concepts into clear, reusable data structures. ...

data models. Experience with enterprise systems such as SAP BW/HANA. A track record of building reusable datasets or maintaining a metrics/semantic layer. Basic Python for automation or analytics engineering tooling. Experience collaborating in cross-functional analytics or data product teams. Why Join Us Help shape ...

Python based ETLs and API integrations into Redshift Manage orchestration using GitHub Actions Ensure uptime, reliability, monitoring and data quality across all systems Analytics Layer Build and maintain dbt models that are clean, well structured and agent friendly Develop core business metrics, product telemetry, customer health signals and financial … KPIs Create a scalable semantic layer for LLMs to query reliably Predictive Analytics and Machine Learning Deploy lightweight production ready models including churn prediction, usage forecasting, anomaly detection and upsell indicators Implement monitoring and automate downstream workflows using model outputs Self Serve Data Products Build Looker dashboards ...

Python based ETLs and API integrations into Redshift Manage orchestration using GitHub Actions Ensure uptime, reliability, monitoring and data quality across all systems Analytics Layer Build and maintain dbt models that are clean, well structured and agent friendly Develop core business metrics, product telemetry, customer health signals and financial … KPIs Create a scalable semantic layer for LLMs to query reliably Predictive Analytics and Machine Learning Deploy lightweight production ready models including churn prediction, usage forecasting, anomaly detection and upsell indicators Implement monitoring and automate downstream workflows using model outputs Self Serve Data Products Build Looker dashboards ...

maintain data products aligned to business use cases Data Architecture & Modeling Design robust data models and ontology structures within Foundry Define and maintain semantic layers for business-facing analytics Ensure data integrity, lineage, governance, and quality controls Optimization & Performance Monitor and optimize pipeline performance, cost efficiency, and scalability Implement ...

such were aware that finding a single individual covering every area of expertise is unlikely. However, they idea candidate would have: Strong knowledge of semantic layer design and optimization (e.g., LookML, dbt, or similar frameworks). Hands-on experience integrating and fine-tuning Large Language Models (LLMs ...

Terraform, Docker and CI/CD Driving Data Mesh adoption, domain ownership, and interoperable data products Setting modelling standards across raw, curated and semantic layers Embedding governance covering lineage, MDM, data quality, PII and compliance Mentoring and challenging senior engineers to maintain high standards You will work closely with ...

with leaders and associates. Strong understanding of data governance principles, including metadata, data quality, and compliance standards. Familiarity with enterprise data architecture concepts and semantic layer alignment. Prior experience with BI tools (e.g., Tableau, Power BI) and understanding of embedded analytics use cases. Knowledge of Salesforce data structures ...

with leaders and associates. Strong understanding of data governance principles, including metadata, data quality, and compliance standards. Familiarity with enterprise data architecture concepts and semantic layer alignment. Prior experience with BI tools (e.g., Tableau, Power BI) and understanding of embedded analytics use cases. Knowledge of Salesforce data structures ...

business opportunities into production-ready AI solutions. You will shape intelligent agents, craft next-generation conversational experiences using modern AI tooling, and architect a semantic layer that ensures models deliver accurate, trusted insights every time. If you're ready to take ownership of an organisation's AI future … reason over proprietary documents and data Integrate AI agents with enterprise systems (e.g. CRM, collaboration tools, operational platforms) via APIs and automation connectors Semantic Modelling & AI Workspace Curation Own the creation and maintenance of AI semantic workspaces, translating complex database schemas into business-friendly models Define and govern ...

Microsoft Fabric/Purview. Advanced Power BI (DAX/modelling) and Excel capability to effectively support report creators. Proven ability to build a semantic layer from scratch in a complex, multi‐site environment. Nice-to-Haves: Strong communication skills and a passion for mentoring. High attention to detail. ...

Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead ...

quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient. Design and help build the data platform – ensuring data is processed through semantic layers and can be modelled effectively. Lead changes across the organisation, adopting a decentralised design. Role: Lead Data Engineer Salary ...

dashboards and chatbots, Lightdash allows data teams to use AI to create, update, and maintain analytics using code. With native dbt integration, a governed semantic layer, and the Lightdash MCP server, teams can build entire BI layers from their terminal, IDE, or CI workflows. Lightdash is built ...

dashboards and chatbots, Lightdash allows data teams to use AI to create, update, and maintain analytics using code. With native dbt integration, a governed semantic layer, and the Lightdash MCP server, teams can build entire BI layers from their terminal, IDE, or CI workflows. Lightdash is built ...

Responsibilities Lead end-to-end Palantir Foundry architecture (pipelines, transforms, ontology, governance, operational apps) Own and evolve enterprise ontology models (object types, links, semantic layers) Design scalable, modular, and governed data pipelines aligned to Foundry best practices Integrate structured, unstructured, streaming, and IoT datasets Build ontology-driven data products ...

insights. Own BAU reporting across pipeline, conversion, enrolment performance, and agency activity. Build robust Power BI data models and dashboards end-to-end - including semantic layers and scalable modelling patterns. Partner with IT/Data Engineering to re-engineer pipelines and align on data requirements as the business migrates … ability to review and coach others on code quality. Power BI expertise, not just building dashboards, but modelling data end-to-end (semantic models, DAX, data modelling best practice). Strong communication skills and confidence working with non-technical stakeholders. Experience delivering meaningful business impact (clear outcomes, not just ...

with an exceptional reputation. They require an SAP Data Architect to design enterprise-wide SAP Data (BDC & Datasphere) solutions, including data modelling, space design, semantic layer, and data integration. You will also lead BW/4HANA and BW modernisation programs, including ECC-to-S/4HANA. To qualify ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence click apply for full job details ...

growth! ROLES AND RESPONSIBILITIES: The Analytics Engineer will: -Design and build tested and documented data models in dbt -Optimise the build of the transformation layer for scalability -Work with multiple teams and stakeholders, including Data Analysts and Data Scientists to understand needs and turn them into solutions -Maintain data … Analytics Engineering or a related field -Technical experience with advanced modelling techniques in dbt -Understanding of ETL/ELT processes -Experience with BI semantic layers and data visualisation tools -Understanding of dimensional modelling, analytics and data warehousing principles best practices -Clear communication skills and ability to work with multiple ...

fully tested services that are fit for purpose. You will provide expert end to end solution design that spans data sourcing, integration, data lineage, semantic layers, visualisation and auditability. Your work will enhance automation, self service and organisational performance. This is a high impact and technically demanding role that … develop bespoke solutions, including through the use of APIs, to support MyNRW releases. Lead end to end solution design across data sourcing, data lineage, semantic and reporting layers, visualisation, controls, reconciliation and auditability. Promote standardisation while enabling innovation through appropriate design patterns. Governance Ensure reporting products comply with data ...

some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm … prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows Ontology and knowledge modelling literacy to enable precise reasoning and data alignment Integrations and automation via APIs, tools and enterprise systems Prompt engineering ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...

solutions across Oracle Fusion Applications. This role will take ownership of the end-to-end FDI architecture — from data ingestion and transformation through to semantic modelling and executive dashboards. You will act as the technical authority across analytics, ensuring scalable, secure and high-performing solutions aligned to business strategy. … delivery of FDI modules across ERP, HCM, SCM and CX Analytics Design and optimise data models within Autonomous Data Warehouse (ADW) Develop and customise semantic layers, KPIs, subject areas and calculations Build executive dashboards and reports in Oracle Analytics Cloud (OAC) Oversee data integration pipelines, extensions and external data ...