24 of 24 Semantic Layer Jobs in the UK excluding London

enablement. You'll transform raw data into well-structured, trusted datasets that support decision-making across the business - while also helping shape a semantic layer designed for future AI and LLM-powered use cases. You'll be joining at a pivotal moment: the platform is in place, proof … concepts are underway, and the team needs someone who can own modelling, testing and semantic design from day one. What You'll Be Doing Designing and building clean, scalable data models for analytics, reporting, and self-serve Writing highly efficient SQL to transform raw data into business-ready datasets ...

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 ...

impact on how data empowers the organisation. THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. … first approach to data usability and access. KEY SKILLS AND REQUIREMENTS Extensive experience operating within Snowflake environments Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design. Proficiency in SQL and dbt, with a strong understanding of data modeling best practices. Strong communication skills with ...

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 ...

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 ...

ingestion and transformation through to modelling and visualisation Ability to deliver production-grade BI outputs (Tableau, Looker Studio) and translate data models into performant semantic layers Experience enabling self-service analytics through well-structured datasets, testing, version control, and documentation Strong understanding of platform administration (e.g. service accounts), performance ...

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 ...

development with strong business engagement. What you'll be doing Power BI & reporting delivery Build, enhance and maintain Power BI dashboards, reports and semantic models Apply best practice across layout, accessibility, UX and data storytelling Develop robust DAX measures and business-aligned KPIs Data modelling & semantic layer ...

reports that support strategic decision-making Working directly with stakeholders to translate business challenges into data solutions Building and maintaining robust data models and semantic layers Turning complex datasets into clear, actionable insights for non-technical audiences Improving reporting standards, data quality, and visual consistency Automating manual reporting processes ...

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 ...

data estates into cloud-based platforms Strong technical credibility with the ability to engage engineers, architects, and technical teams Understanding of how data products, semantic layers, and reporting structures are designed and delivered Experience embedding data governance, quality, and MDM into delivery practices Ability tooperatein complex, fast-paced, ambiguous ...

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 ...

Power BI, setting clear standards, best practices and governance across reporting, data models and datasets Design, develop and optimise enterprise scale data models, semantic layers and Power BI architecture, ensuring performance, security and scalability Act as the technical authority for Power BI, DAX and Power Query, driving high quality ...

monitoring across key business domains Translate business requirements into clearly defined and documented metrics Contribute to improving data quality, modelling standards and the wider semantic layer YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial experience in a BI Analyst, Data … Reporting Analyst role Advanced SQL skills, including joins, aggregations and complex queries Experience building data models and transformations, ideally using dbt Exposure to semantic modelling, star schemas or Kimball style methodologies Experience with data visualisation tools such as Tableau, Power BI or Looker Comfortable working with stakeholders and explaining ...

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 ...

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 ...

Data Modeller in Insurance, specifically in the London Market Expertise in data-modelling techniques Proven experience designing models across Silver, Gold and Semantic Layers Advanced SQL skills for data profiling, validation and modelling support Strong domain knowledge of Syndicates, Delegated Authority, Reinsurance, Pricing and Claims What they offer: Base ...

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 ...

best practice and putting more structure in place as the business continues to grow. About you Strong track record delivering modern data platforms and semantic layers Proven experience coaching, mentoring and leading Data Engineering teams and best practice. Lead modernisation programmes of legacy data to cloud native environments. Driven ...

data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight Collaborate closely with stakeholders across the organisation to translate business requirements … engineering best practices, including data pipeline design, version control, testing approaches, and performance optimisation techniques Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms Proficient ...

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 ...

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 ...

operations, using SRE practices to automate, stabilise and improve distributed services. You'll own reliability from data ingestion and cloud data workloads through to semantic layers and AI-driven capabilities. I am therefore keen to speak with candidates who have: Proven experience in SRE, production engineering, platform engineering … code concepts, Unix/Linux and basic networking. Excellent communication skills and ability to collaborate with engineering, data and product teams; experience with semantic data models, analytics-oriented platforms or AI/GenAI services is beneficial. Interested? Apply now for immediate consideration ...