12 of 12 Semantic Layer Jobs in the UK excluding London

powered by technologyExtensive experience designing fact and dimension tables across domains such as policy, quote, claims, pricing, and fraud, ensuring consistency and alignment with business metricsDeep practical knowledge of semantic layer design and implementation using DBT, SQL, and Delta Live TablesStrong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirementsDirect More ❯

technology Extensive experience designing fact and dimension tables across domains such as policy, quote, claims, pricing, and fraud, ensuring consistency and alignment with business metrics Deep practical knowledge of semantic layer design and implementation using DBT, SQL, and Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting More ❯

ecosystem for scalability and accuracy. Key responsibilities: Lead customer onboarding for analytics platforms, delivering training and technical support. Enrich datasets for AI/LLM applications, including metadata management and semantic layers. Monitor Natural Language Query (NLQ) performance and implement optimisation strategies. Develop and maintain a strategic roadmap for platform scalability and accuracy. Design and develop integrated data models using More ❯

Frontend TypeScript + React - App Router with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform (GCP) - Cloud provider Pulumi - Infrastructure as More ❯

learning, and self-service insights. Senior Analytics Engineer/Data Modeller Responsibilities Design, build, and maintain analytical and AI-ready data marts sourced from the enterprise data lakehouse. Develop semantic models and dimensional structures optimised for BI, dashboarding, and machine learning. Ensure documentation, governance, and data consistency across domains. Collaborate with data engineers to support robust ETL/ELT … and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong More ❯

mentor two Data Engineers, providing technical guidance and coaching. Design and deploy modern data pipelines using Databricks and Azure. Transform unstructured external data into clean, business-ready models. Build semantic layers and embed Unity Catalog for robust data governance. Guide the team in taking Databricks from development to production. Support Terraform adoption and infrastructure-as-code practices. Why This … days/week onsite. What We're Looking For Proven technical leadership in data engineering teams. Deep experience with Databricks, Azure, SQL, and ideally Python. Strong understanding of MDM, semantic modeling, and Unity Catalog. Ability to handle messy, unstructured data and build scalable solutions. Comfortable mentoring and guiding a small, agile team. Finance sector experience is a bonus-but … not essential. Interview Process Initial coffee chat to explore team fit and technical challenges. Technical interview covering Databricks, MDM, semantic layers, pipeline design, and governance. This is a rare opportunity to lead, build, and shape the future of data in a growing financial services business. Ready to make your mark? Let's talk. Modis International Ltd acts as an More ❯

mentor two Data Engineers, providing technical guidance and coaching. Design and deploy modern data pipelines using Databricks and Azure. Transform unstructured external data into clean, business-ready models. Build semantic layers and embed Unity Catalog for robust data governance. Guide the team in taking Databricks from development to production. Support Terraform adoption and infrastructure-as-code practices. Why This … days/week onsite. What We're Looking For Proven technical leadership in data engineering teams. Deep experience with Databricks, Azure, SQL, and ideally Python. Strong understanding of MDM, semantic modeling, and Unity Catalog. Ability to handle messy, unstructured data and build scalable solutions. Comfortable mentoring and guiding a small, agile team. Finance sector experience is a bonus-but … not essential. Interview Process Initial coffee chat to explore team fit and technical challenges. Technical interview covering Databricks, MDM, semantic layers, pipeline design, and governance. This is a rare opportunity to lead, build, and shape the future of data in a growing financial services business. Ready to make your mark? Let's talk. Modis International Ltd acts as an More ❯

mentor two Data Engineers, providing technical guidance and coaching. Design and deploy modern data pipelines using Databricks and Azure. Transform unstructured external data into clean, business-ready models. Build semantic layers and embed Unity Catalog for robust data governance. Guide the team in taking Databricks from development to production. Support Terraform adoption and infrastructure-as-code practices. Why This … days/week onsite. What We're Looking For Proven technical leadership in data engineering teams. Deep experience with Databricks, Azure, SQL, and ideally Python. Strong understanding of MDM, semantic modeling, and Unity Catalog. Ability to handle messy, unstructured data and build scalable solutions. Comfortable mentoring and guiding a small, agile team. Finance sector experience is a bonus-but … not essential. Interview Process Initial coffee chat to explore team fit and technical challenges. Technical interview covering Databricks, MDM, semantic layers, pipeline design, and governance. This is a rare opportunity to lead, build, and shape the future of data in a growing financial services business. Ready to make your mark? Let's talk. Modis International Ltd acts as an More ❯

mentor two Data Engineers, providing technical guidance and coaching. Design and deploy modern data pipelines using Databricks and Azure. Transform unstructured external data into clean, business-ready models. Build semantic layers and embed Unity Catalog for robust data governance. Guide the team in taking Databricks from development to production. Support Terraform adoption and infrastructure-as-code practices. Why This … days/week onsite. What We're Looking For Proven technical leadership in data engineering teams. Deep experience with Databricks, Azure, SQL, and ideally Python. Strong understanding of MDM, semantic modeling, and Unity Catalog. Ability to handle messy, unstructured data and build scalable solutions. Comfortable mentoring and guiding a small, agile team. Finance sector experience is a bonus-but … not essential. Interview Process Initial coffee chat to explore team fit and technical challenges. Technical interview covering Databricks, MDM, semantic layers, pipeline design, and governance. This is a rare opportunity to lead, build, and shape the future of data in a growing financial services business. Ready to make your mark? Let's talk. Modis International Ltd acts as an More ❯

main brand. As part of this, they're building a central database spanning multiple datacubes across commercial, advertising, and revenue functions. They previously worked with advisory specialists to create semantic layers, but there are gaps in how this translates into clear, usable insight - which is why they need a strong analyst to take ownership of the visualisation and logic More ❯

10+ PMs), crafted outcome-oriented strategies, and delivered internal platforms that scale. Technically fluent: You speak the language of modern data architecture - from data mesh to streaming pipelines and semantic layers - and work seamlessly with engineers. Business-aware: You can translate technical capability into tangible commercial and customer impact. Governance-ready: You understand the fine print - privacy, consent, compliance More ❯

Bonus & Benefits – FinTech Overview: An established global FinTech organisation is seeking a skilled Senior Analytics Engineer/Data Engineer to help define and manage its analytical data models and semantic layers.You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making across the business. Fluent Russian language skills are … essential for this role. Role & Responsibilities: Build and maintain scalable semantic/analytics layers to create consistent business metrics and definitions. Work with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt-based transformations, tests, and documentation. Support colleagues … business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/ More ❯