1 to 25 of 27 Permanent Semantic Layer Jobs in England

Assessments, Cases), aligning with the DSFS data model and existing Netezza structures. Produce the EDW logical and physical data models, dimensional models for the Semantic Layer, and Data Lake zone architecture (Bronze/Silver/Gold). Define Enterprise Semantic Layer design, including pre-computed aggregations … equivalent. Proficiency in dimensional modelling (Kimball methodology) and enterprise data modelling. Experience with Databricks (Unity Catalog, Delta Lake) or Snowflake on AWS. Knowledge of Semantic Layer design patterns: pre-computed aggregations, business-facing views, Tableau integration. Experience migrating from legacy EDW platforms (Netezza, Teradata, Oracle) to cloud-native ...

improve datasets within the warehouse · Ensure data is accurate, consistent, and trusted across the business Business Intelligence and Data modelling · Design and maintain the semantic layer within BI tools (e.g. Looker, ThoughtSpot, or similar) to provide consistent, trusted commercial metrics · Model and embed business logic … semantic layer to support revenue, funnels, and lifecycle analysis · Build, optimise, and maintain scalable dashboards and structured reports in BI tools, ensuring efficient query performance and accurate metric definitions. Stakeholder Collaboration & Data Enablement · Collaborate with product, marketing, sales, and operations teams to understand data requirements and translate them ...

cloud data warehouses Establish orchestration standards (Dagster or equivalent) Drive decisions across batch, streaming, and real-time pipelines Champion data modelling standards, semantic layers, and metric governance 🤖 AI & ML Enablement at Scale Architect data foundations supporting the ML lifecycle Design feature stores, embedding pipelines, and AI-ready datasets Enable ...

emerging tools. What you bring Expertise in Power BI. Strong SQL; Python or R is a bonus. Experience with data modelling (dimensional, star schema, semantic layers). Understanding of data pipelines and cloud platforms (AWS, Azure, Snowflake, GCP). Strong business acumen - able to turn strategy into analytics. ...

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 ...

with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework Cube.js - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform ...

within Microsoft Fabric and Azure Integrate data from third-party systems and internal platforms into the data lake environment Build scalable data models and semantic layers for business reporting Build and optimise SQL queries, data models and dimensional schemas for reporting Support the continued growth of the organisation ...

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 ...

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) for conversational analytics. ...

products. Ensure data quality through monitoring, anomaly detection, and root-cause investigation. Optimise performance and cost across warehouses and transformation workloads. Support dashboarding and semantic layers where required, ensuring consistent definitions and governance. Contribute to best practice, reusable patterns, and internal accelerators across multiple client engagements. Essential Requirements Commercial … communicate clearly with both technical and non-technical stakeholders in a consultancy environment. Desirable Experience with BI tools (e.g., Power BI, Tableau, Looker) and semantic modelling. Python for data manipulation and automation. Familiarity with privacy, security, and compliance considerations. Consulting experience delivering to multiple clients and industries. What ...

Hybrid | AI-Native Consulting Environment £80,000-£90,000 + package Our client is a fast-growing, AI-native, engineering-led consultancy building advanced semantic, ontology-driven and agentic AI systems. As they deepen their data engineering capability, they are seeking a senior-level Data Engineer to design … semantically coherent knowledge that underpins intelligent systems. The Purpose of the Role You will build production-grade data pipelines explicitly aligned to ontologies and semantic models. Your work will ensure that entity definitions, relationships, taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready ...

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 ...

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. ...

Semantic Architect Location - Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance What Youll Do Design Ontologies: Develop and maintain ontologies using OWL/RDF to model enterprise data domains and relationships. Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data … sources. Semantic Querying: Develop and optimise SPARQL queries for advanced data retrieval and analytics. Ensure Data Quality: Implement semantic validation rules (e.g., SHACL, OWL constraints) for data integrity and interoperability. Integrate with Enterprise Systems: Embed semantic models into data pipelines, APIs, and enterprise workflows. Collaborate with ...

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 ...

based mapping pipelines. * Creating high-fidelity 3D/HD maps suitable for repeated autonomous deployments. * Building robust spatial representations including occupancy grids, vector maps, semantic layers and environment models. * Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency. * Leading multi-sensor ...

based mapping pipelines. * Creating high-fidelity 3D/HD maps suitable for repeated autonomous deployments. * Building robust spatial representations including occupancy grids, vector maps, semantic layers and environment models. * Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency. * Leading multi-sensor ...

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 ...

Systems & Data Design Lead design of knowledge ingestion pipelines: document parsing, chunking strategies, embeddings, metadata, lineage, freshness SLAs Architect vector search and hybrid retrieval: semantic + keyword, reranking, filtering, ACL-aware retrieval Ensure retrieval respects access control, PII handling, data residency, and auditability. 4) Production Engineering, Reliability & Cost … caching, batching Preferred/Nice-to-Have Skills Fine-tuning approaches: LoRA/QLoRA, instruction tuning, adapters, distillation (when appropriate) Experience with: Knowledge graphs, semantic layers, enterprise search Advanced evaluation: LLM-as-judge with safeguards, rubric scoring, adversarial testing MLOps/LLMOps toolchains: experiment tracking, feature stores, model registries ...

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 ...

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 ...

advance scalable LiDAR- and vision-based mapping pipelines. * Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models. * Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs. * Deliver large-scale capabilities like multi-session mapping … ensure stable, drift-free deployment performance. * Define KPIs and validation frameworks for map accuracy, completeness, and consistency. * Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems. * Set best practices and technical standards to support future team growth. Experience required * MSc/ ...