18 of 18 Semantic Layer Jobs in the UK excluding London

expert for query performance optimisation (Spark execution plans, data skew, joins) Design and implement dimensional data models (star/snowflake schemas) Architect the semantic layer for BI (Omni or similar tools like Looker) Build CI/CD pipelines to automate testing and deployment Work with stakeholders across Product … with data modelling (star/snowflake schemas) Proven experience migrating legacy data platforms Ability to optimise performance across large datasets Experience with modern BI semantic layers (e.g. Looker, Omni, Superset) Experience with CI/CD and version control (Git) Nice to have Experience with dbt or similar transformation frameworks ...

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 ...

within a small frontend analytics team and take the lead on migrating dashboards and reporting logic from Power BI to Omni (Looker-style semantic layer) . This is not a lift-and-shift exercise - they need someone who can: Challenge what should actually be migrated Consolidate and simplify … environment Nice to have Experience with BI migrations (highly beneficial) Experience with dbt or modern data transformation frameworks Exposure to Looker/Omni/semantic layer tools Background in analytics engineering or hybrid BI/data roles Why this role High-impact project with clear ownership Opportunity ...

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 ...

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 ...

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 ...

Snowflake Develop reusable data assets for downstream reporting and analytics Troubleshoot and resolve data quality or performance issues Improve the Reporting & Analytics Layer Design a clean, scalable semantic layer for reporting Standardise key business metrics and definitions Support transition away from legacy report-first design toward 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 ...

organisation. The Role Support a major data platform migration, helping to build strong architectural foundations. Design and implement dimensional models and a robust semantic layer to enable trusted, self service analytics. Introduce and embed dbt as part of the transformation and modelling layer. Establish effective data governance using … Experience Strong commercial experience as a BI Data Architect or BI Engineer in modern analytics environments. Proven capability in dimensional modelling and designing semantic layers for BI tools. Hands on experience with Databricks and lakehouse style architectures. Working knowledge of Unity Catalog or similar data governance frameworks. Experience implementing ...

Azure cloud platform and working closely with BI and data product teams throughout. About you Strong track record delivering modern data platforms and semantic layers Proven experience working with related Azure services (Data Factory/Databricks etc..) Strong ERL/ELT pipeline exposure within cloud environments. Familiarity with ...

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 ...

skilled candidate with 10+ years’ experience in Power BI development, advanced SQL Server expertise, strong ERP and ETL knowledge and proven experience building scalable semantic models and data infrastructure. The ideal candidate will combine strong technical capability with excellent problem-solving, communication, and stakeholder management skills. … Server expertise, including query optimisation, views, stored procedures, and performance tuning. Strong experience managing ERP data structures and integrations. Experience building and managing semantic models and enterprise datasets in Power BI. Strong knowledge of ETL processes, data transformation, and data modelling principles. Advanced DAX development and optimisation experience. Experience ...

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 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 ...

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 ...