1 to 25 of 26 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 ...

With a brand-new Head of Commercial Insights in place, the business is rebuilding its entire data stack - from pipelines to dashboards to the semantic layer - and this hire will play a critical role in shaping how analytics operates moving forward. If you enjoy … centre of decision-making across product, commercial, and operations. What you'll be doing Core analytics + modelling Build data models (SQL, star schemas, semantic-layer-ready tables). Work with GCP + dbt pipelines (with support from a dedicated data engineer). Turn messy spreadsheets into clean ...

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 ...

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 ...

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 ...

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 … 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 reporting) Partner with ...

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 ...

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 ...

Python. • 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. ...

profile existing data sources (apps, databases, files, SaaS). Design and implement data cleansing and standardisation pipelines. Maintain data dictionaries, lineage diagrams, and semantic layers. Establish pragmatic governance: data ownership, KPIs, thresholds, and access controls. Implement automated data quality checks, dashboards, and root-cause remediation. Ensure trust, consistency ...

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 ...

role in supporting users, applying best practice and contributing to the consultancy's broader analytics framework. Responsibilities Build, maintain and optimise Power BI semantic models Develop high-quality Power BI reports and dashboards, including advanced DAX measures and calculations Apply best practices across data modelling, performance optimisation and governance … methodologies Skills and Experience Strong, hands-on experience with Power BI (data ingestion, modelling, DAX) Solid understanding of data modelling, star schema design and semantic layer principles Proven ability to create scalable, efficient analytical models and performance reports Excellent communication skills with the ability to translate user requirements ...

evolve enterprise-grade data architectures, ensuring scalability, sustainability and alignment with client objectives. Solution Design & Governance Lead the design of cloud-based data platforms, semantic layers, integration patterns and data models. Establish governance standards, frameworks and principles that guide engineering teams. Stakeholder & Client Engagement Act as a trusted technical … components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc. Demonstrated experience architecting solutions using medallion architectures , including curated gold-layer models designed for analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics ...

about designing systems, deploying AI agents, and transforming how a business makes decisions . What you’ll own The data foundation: Build a scalable semantic layer —the single source of truth for people and AI AI in action: Create and orchestrate multi-agent systems that automate workflows ...

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 ...

action, comfortable operating in ambiguity and creating structure. Youll bring: Proven leadership of multi-disciplinary data teams Experience delivering modern data platforms and semantic layers A track record of turning business demand into tangible data outputs Strong delivery discipline, clear communication and technical credibility Confidence to challenge constructively ...

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 ...

multi‐disciplinary squads across data engineering, analytics engineering, and business analysis overseeing the build of our bronze/silver/gold Lakehouse layers, certified semantic models, and shared data assets that enable self‐service analytics and enterprise insight. Working closely with our Insights & Analytics team, Data Governance Lead … scalable design across all data products. Delivery Leadership (Azure & Databricks Lakehouse) Lead cross‐functional squads building ingestion pipelines, Delta Lake tables, and Power BI semantic models. Drive Agile delivery, manage backlogs, and lead sprint ceremonies. Ensure reliability, observability, performance, and smooth handover into Data Platform Operations. Uphold design standards ...

logic. • Design data models that align with business requirements and reporting needs. • Work closely with stakeholders, including finance, to structure data effectively. • Create robust semantic models and supporting the Power BI reporting layer. • Implement scalable design patterns covering incremental loads and snapshotting. • Support end‐to‐end builds across ingestion … data environment, ideally Azure. • Hands‐on experience with Databricks or similar transformation frameworks. • Strong SQL skills. • Solid Power BI capability, including modelling, DAX and semantic layers. • Experience with data modelling approaches such as star schema, Kimball or medallion architectures. • Ability to partner with non‐technical teams and communicate clearly ...

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 ...

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 ...

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/ ...