22 of 22 Permanent Semantic Layer Jobs in England

ensure a single version of the truth across the global brand/li/ul p Data Design & Technical Translation:/p ul li Semantic Layer Definition: Help shape the semantic layer of our data platform, ensuring that complex data structures are translated into intuitive, business ...

take ownership of building the data and BI foundations for a modern analytics platform, including the implementation of dbt and a governed semantic layer. THE COMPANY: This client's platform enables organisations to make smarter, faster decisions using real-time consumer insight at scale. With continued international growth … Databricks Lakehouse architecture, including governed data models and structures Leading the implementation of dbt and shaping best-practice transformation workflows Building and owning the semantic layer to enable scalable, self-service analytics Developing and optimising Python/SQL Spark pipelines for performance and reliability Acting as a senior ...

take ownership of building the data and BI foundations for a modern analytics platform, including the implementation of dbt and a governed semantic layer. THE COMPANY: This client's platform enables organisations to make smarter, faster decisions using real-time consumer insight at scale. With continued international growth … Databricks Lakehouse architecture, including governed data models and structures Leading the implementation of dbt and shaping best-practice transformation workflows Building and owning the semantic layer to enable scalable, self-service analytics Developing and optimising Python/SQL Spark pipelines for performance and reliability Acting as a senior ...

such as finance and HR via APIs and structured feeds. Translate business requirements into robust, scalable data models using best practice approaches. Own the semantic layer and reporting layer in Power BI, enabling trusted self-serve analytics. Work closely with stakeholders across the business to define … ideally Azure. Solid SQL capability and confidence building reliable transformation logic. Experience with data modelling concepts such as star schema, Kimball-style modelling, and semantic layers. Power BI experience across data modelling, DAX, and report development. Exposure to Databricks and lakehouse concepts, including incremental loads and snapshotting. Comfortable engaging ...

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 ...

performance‐tuning skills. Experience following coding standards and performing peer code reviews. Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity. Collaboration: Able to influence senior ...

robust data models to support analytics and reporting, following best-practice approaches such as Kimball and star schemas Supporting and enhancing the Power BI semantic layer and reporting outputs Working closely with stakeholders to translate business requirements into scalable data solutions Ensuring data quality, reliability, and documentation across … cloud-based data environment, ideally Azure Solid SQL skills and hands-on experience with data transformation and modelling Experience using Power BI, including semantic models, DAX, and the reporting layer Exposure to Databricks, particularly for data transformation and connecting multiple data sources Familiarity with concepts such as medallion ...

clear backlog for delivery Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements ...

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 ...

based data stacks (AWS, SQL, BI tools) * Confident stakeholder management across technical and non-technical teams * Previous management or mentoring experience preferred * Exposure to semantic layers or AI-led data accessibility tools is advantageous SALARY AND BENEFITS * Up to £140,000 base salary * Competitive benefits package * Hybrid working model ...

pipeline - Airbyte (OSS) for extraction, Airflow on Astro for orchestration, dbt via Cosmos for transformation - and the BigQuery lakehouse beneath it, with a semantic layer on top.These are hands-on, build-and-operate roles in a team that takes engineering quality seriously.Core Responsibilities: ELT Pipeline Ownership : Extend ...

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 ...

best practice, ensuring consistency, scalability, data quality and sustainability of analytical solutions. Be accountable for the delivery of high‐quality analytical datasets and semantic layers that enable self‐service business intelligence, advanced analytics and data science across the organisation. Provide technical leadership and specialist advice on data structures, modelling ...

Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic and curated layer and data marts. Delivering complex analytics workstreams end-to-end, and working within an Agile framework to break down requirements … broker or specialty (re)insurer. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning, RLS and deployment via pipelines. A strong ...

Knowledge & Expertise Technical Skills Demonstrable technical knowledge of Microsoft Fabric as the primary data platform (OneLake, Lakehouse/Warehouse, Notebooks, Data Pipelines, Dataflows Gen2, Semantic Models/Power BI), including security/governance and Git‐based delivery. Familiarity with Azure data services (for example ADLS/Azure … Python (and DAX where required), with an engineering mindset around testing, readability, and performance. Strong analytics capability across the Microsoft BI stack (Power BI, semantic modelling, governance and performance), with experience modernising from legacy MSBI where applicable. Demonstrable understanding of enterprise data concepts: dimensional modelling, lakehouse/warehouse patterns ...

secure, scalable deployment patterns that support frequent change, experimentation, and AI/agent-based services. Enable and govern data access patterns, including Fabric and semantic layers, with a strong focus on security, compliance, and operational insight. Provide cloud financial management (capacity, forecasting, optimisation) expertise in partnership with finance ...

trusted data products that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems … scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. Champion Data-as-Code ...

Power BI, Looker, ThoughtSpot, Oracle BI) into a single enterprise platform aligned to stakeholder needs and long ‐ term strategy Establish BI architecture principles, including semantic layers, shared datasets, reporting standards, and self ‐ service frameworks Act as a senior leader in cross ‐ functional forums, influencing strategy and decision ‐ making using … Engineering, Data Governance, and Data Science to ensure BI consumption layers are built on robust, governed, well ‐ modelled data assets Drive adoption of standardised semantic models, shared datasets, and governed self ‐ service analytics frameworks across the organisation Define and maintain BI standards, documentation, and policies to ensure consistency, compliance ...

data Snowflake-centric analytical environments Vector and retrieval layers AI interaction patterns Define scalable, secure integration patterns across systems. Architect AI-Ready Foundations Design semantic models and governed data layers that support: LLM-powered extraction and reasoning Internal knowledge systems AI copilots and workflow automation Ensure data is structured … modern cloud data platforms. Proven experience designing cloud-native data environments (e.g. Snowflake, Databricks, BigQuery or equivalent). Deep expertise in: Data modelling and semantic layers Governance and operating models Data integration patterns Structured and unstructured data environments Experience designing AI-ready architectures that support LLM or RAG-based ...

simply moving dashboards from one tool to another. ROLES AND RESPONSIBILITIES: The Senior BI Engineer will: Migrate and rebuild datasets, dashboards and semantic models from Power BI into Omni Re think reporting structures to reduce duplication and improve self serve analytics Design reusable datasets and analytics topics to support … preferable to direct migration Support governance, documentation and data quality best practice Help lay the foundations for AI ready analytics within the BI layer YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial SQL capability Experience with Power BI, Looker or similar ...

client-facing insight depends on engineers being able to find, understand, trust, and use financial datasets at scale. DataHub is Bloomberg’s experience layer for data. What GitHub is for code, DataHub is for data: the place where engineers discover datasets, understand schemas, request access, publish streams, subscribe … only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier ...

Expanding Protégé workflow adoption and partnering with Commercial teams to unlock expansion opportunities and increase average order value.### AI-Enabled Workflow AccelerationLeading integration of semantic layers and canonical data into Protégé workflows. Ensuring explainability, trust, and defensibility of AI-generated insights. Expanding persona coverage beyond core analysts and delivering … bias toward measurable impact.### Preferred QualificationsExperience in Intellectual Property, legal technology, enterprise analytics platforms, or intelligence tools. Familiarity with large-scale data ecosystems, semantic modeling, and AI-powered insight generation.## Work in a Way That Works for YouWe promote a healthy work/life balance across the organization. ...