5 of 5 Semantic Layer Jobs in Central London

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. ...

platform architecture, design patterns, and engineering standards. Platform Engineering & Architecture • Lead the implementation of data architecture and data engineering frameworks across ingestion, data layers, semantic layers, and consumption. • Own policies and standards for data platforms, including Databricks, integration, data management, and access controls. • Ensure platforms are designed for performance ...

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 ...

hands-on builder (not a pure manager) Nice to have FMCG/retail/commercial analytics experience (NIQ/Circana a plus) dbt/semantic layer design MLOps, evaluation & observability tooling Background in consulting or data science roles, now looking to own a product ...

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 ...