24 of 24 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 ...

search world to a cyber‐analytics world. Our composable cyber platform ingests data from any source, automatically models and enriches it via an intelligent semantic layer, and delivers real‐time detections at petabyte scale – 5x faster onboarding, 25x processing efficiency, and up to 960x faster time‐to‐detect … ziggiz? Category‐defining tech: the world’s only real‐time security analytics platform that combines in‐stream analytics, full‐fidelity storage and a security semantic layer at any scale. Real‐world impact: we help customers cut SIEM TCO by up to 80%, onboard new data sources in hours ...

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 ...

requirements into robust, maintainable, and reusable data products Partner with stakeholders and Analytics Business Partners to deliver impactful data solutions Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating ...

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 ...

Hybrid working: typically 12 days in the London office (flexible) The Analytics Engineer sits between Data Engineering and the business, owning the transformation layer and turning raw data into trusted, scalable insights. This is an exciting time to join this fast paced & growing Insurance company. Youll take ownership … analytics/BI layer and help build a single source of truth for the organisation and external partners. What youll do Build and maintain robust data models and curated datasets in the warehouse Own metric logic across the semantic layer (consistent definitions, reliable reporting) Partner with Data ...

Hybrid working: typically 1–2 days in the London office (flexible) The Analytics Engineer sits between Data Engineering and the business, owning the transformation layer and turning raw data into trusted, scalable insights. This is an exciting time to join this fast paced & growing Insurance company. You’ll take … ownership of the analytics/BI layer and help build a “single source of truth” for the organisation and external partners. What you’ll do Build and maintain robust data models and curated datasets in the warehouse Own metric logic across the semantic layer (consistent definitions, reliable ...

agnostic best practices. Create and maintain data mapping artifacts to support analytics, integration, and migration initiatives. Establish modeling patterns suitable for lakehouse, medallion, and semantic-layer architectures. Ensure alignment between physical analytical models and enterprise semantic definitions. 2. BusinessTechnical Translation Act as the primary interface between business ...

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 ...

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 ...

high-quality, easy to understand, and well-documented. Create an environment that allows safe experimentation and innovation. Power BI & Analytics Leadership Lead on our semantic layer, data models, and Power BI architecture. Build and govern standard datasets used for: Executive reporting Self-service BI Data science ...

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 ...

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 ...

maintain data pipelines for a new reporting solution within the business. You'll be responsible for the build across ingestion, modelling and creating semantic layers using their GCP stack. Successful applicants will have experience with: Looker BigQuery GCP Gemini Exceptional candidates would have worked with: Retail Data ...

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 ...

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 ...

Palantir, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications. Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships for clinical and operational domains. Design scalable, modular, and governed data pipelines following Foundry best practices (transform patterns, DRY architecture, no circular dependencies … development. Strong understanding of healthcare datasets (EPR, PAS, FHIR/HL7, clinical coding, operational and workforce data). Proven experience designing enterprise data models, semantic layers, or ontologies. Strong background working within regulated environments such as NHS trusts, ICSs, central government, or large healthcare providers. Excellent communication and stakeholder ...

support downstream analytics Contribute hands-on to the development of pipelines, models, and data platform components where required Define how data is exposed through semantic layers and BI tools to ensure consistent metrics and definitions Support integration of data across systems, including engineering, test, and enterprise platforms Identify … modelling techniques (e.g. dimensional modelling, normalisation, time-series considerations) Familiarity with both structured enterprise data and high-volume time-series data environments Experience defining semantic layers, metrics, and data structures for analytics and reporting Ability to balance long-term architectural integrity with short-term delivery needs Strong stakeholder engagement ...

consultancy building capabilities in decision intelligence, semantic data systems and operational AI. This role leads the capability that transforms data and models into real operational decisions and measurable business outcomes. Combining decision architecture, applied modelling and AI system integration, ensuring analytical work directly drives how organisations plan, price, forecast … capability - Define and scale the firm's Decision Science practice. Create modelling frameworks, reusable components, and decision accelerators. Shape how modelling integrates with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business ...

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/ ...

Design and evolve scalable LiDAR and vision-based mapping pipelines * Develop and optimise 2D and 3D map representations, including occupancy grids, HD maps and semantic layers * Lead multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry * Support multi-session, large-scale and distributed mapping workflows * Implement … world environments * Strong C++ development skills with solid ROS2 experience * Strong understanding of kinematics, estimation, optimisation, geometry and transformation management (TF2) Desirable experience includes semantic mapping, distributed systems, DDS middleware and ML-driven scene understanding. This role would suit a senior engineer who enjoys solving complex spatial problems, influencing ...