1 to 25 of 28 Semantic Layer Jobs in England

through robust data validation , governance, and documentation Partner with analysts and stakeholders to define and deliver core business logic and metrics Enable scalable, self-service analytics through well-structured semantic layers Core Responsibilities Build and maintain dbt models , views, and transformations to support business intelligence and analytics Translate business requirements into performant and reliable ETL/ELT pipelines using More ❯

with analysts and stakeholders to define KPIs, metrics, and business requirements Ensure data quality, consistency, and reliability across all visualizations Partner with analytics engineers to improve data pipelines and semantic layers that feed your dashboards Key Responsibilities Build and maintain user-friendly dashboards using tools such as Tableau or other BI tools Collaborate with analysts and business teams to … clear, scalable, and meet business needs Strong working knowledge of SQL for data querying and transformation Experience working with Python for advanced data manipulation Understanding of data modelling and semantic layer design Comfortable working with sensitive or complex data from multiple domains (e.g., HR, Finance, Risk, Marketing) Experience with Tableau Server or Tableau Cloud administration (e.g., permissions, licensing More ❯

development and management approach to BI that incorporates business users into the design process and focuses on generating the data models, database objects, data integration mappings and front-end semantic layers directly from the business user input Overall responsibility for management, prioritisation, and delivery of data-driven initiatives within the organisation. Recognise and assist in delivering the broader business More ❯

development and management approach to BI that incorporates business users into the design process and focuses on generating the data models, database objects, data integration mappings and front-end semantic layers directly from the business user input Overall responsibility for management, prioritisation, and delivery of data-driven initiatives within the organisation. Recognise and assist in delivering the broader business More ❯

BigQuery, dbt), ensuring they are scalable, maintainable, and effectively serve the complex analytical and operational needs of the entire organisation. You will be instrumental in defining and refining the semantic layer (Cube) to guarantee consistent and accurate metrics. Drive Data Integration and Transformation Excellence: Establishing and enforcing best practices for data ingestion and transformation processes, collaborating closely with … understanding of methodologies and significant hands-on experience using dbt, complemented by practical experience with orchestration tools such as Dagster or Airflow. Have a proven track record of successful semantic layer implementation, showcasing experience in the end-to-end implementation and management of a modern semantic layer (e.g., Cube) to empower consistent and performant self-service More ❯

transparency and understandability to pipelines created and code created. You’ll coach and mentor Data Engineers & Associate Data Engineers. You’ll create high complexity BI solutions including data marts, semantic layer, and on occasion reporting & visualisation solutions in recognised BI tools such as PowerBI. Experience & knowledge Requires extensive experience of developing and implementing end to end data solutions More ❯

needs and a strong communicator. Nice to have: The ideal candidate will have experience using Azure Synapse, Azure Data Factory or MS Fabric to perform ETL tasks and manage semantic layers Commercial awareness, ideally within the holiday lettings or travel and tourism sectors Experience in an e-Commerce environment working with website/mobile performance analytics Experience in an More ❯

with analysts and stakeholders to define KPIs, metrics, and business requirements Ensure data quality, consistency, and reliability across all visualizations Partner with analytics engineers to improve data pipelines and semantic layers that feed your dashboards Key Responsibilities Build and maintain user-friendly dashboards using tools such as Tableau or other BI tools Collaborate with analysts and business teams to … clear, scalable, and meet business needs Strong working knowledge of SQL for data querying and transformation Experience working with Python for advanced data manipulation Understanding of data modelling and semantic layer design Comfortable working with sensitive or complex data from multiple domains (e.g., HR, Finance, Risk, Marketing) Experience with Tableau Server or Tableau Cloud administration (e.g., permissions, licensing More ❯

maintain, and optimise data extraction processes. Implement monitoring and alerting solutions to proactively detect pipeline failures and performance bottlenecks. Use dbt for data warehouse modelling and orchestration. This includes semantic layer modelling to drive business intelligence and marketing automation workflows. Incorporate automated testing (schema tests, custom tests) in dbt and ensure CI/CD pipelines (e.g., GitHub Actions … testing. Azure Cloud: Understanding of Azure fundamentals (e.g., Azure Data Factory, Azure Functions, ARM Templates, security controls). Data Modelling: In-depth knowledge of data modelling principles and creating semantic layers for analytics. Governance & Observability: Knowledge of data governance best practices, data lineage, monitoring, alerting, and reporting solutions. Testing & QA: Experience writing and executing test plans, including both functional More ❯

scalable and reusable data structures Experience partnering with distributed teams to enhance data architecture and streamline pipeline efficiency Experience creating and contributing to key data architecture artefacts, including ERDs, semantic layer designs, data flow documentation, API specs and metadata management Essential Strong commercial awareness with the ability to assess supplier technical proposals and drive cost-effective solutions Expertise More ❯

scalable and reusable data structures Experience partnering with distributed teams to enhance data architecture and streamline pipeline efficiency Experience creating and contributing to key data architecture artefacts, including ERDs, semantic layer designs, data flow documentation, API specs and metadata management Essential Strong commercial awareness with the ability to assess supplier technical proposals and drive cost-effective solutions Expertise More ❯

development experience Data engineering and complex data modelling experience (using Fabric/Azure) in bringing together multiple data sources (including ERPs) and tables to create the data model/semantic layers Experience of complex app/DWH development and support using Microsoft Azure/Power BI. Experience of analysing and diagnosing complex data issues and then explain key findings More ❯

toward a clearer separation between Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building … reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/… Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts More ❯

toward a clearer separation between Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building … reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/… Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts More ❯

toward a clearer separation between Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building … reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/… Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts More ❯

cluster warehouses. Design, develop, and deploy scalable data pipelines. Collaborate on data extraction processes and implement monitoring solutions for pipeline health. Use dbt for data modelling and orchestration, including semantic layer modelling for BI and marketing workflows. Incorporate automated testing and CI/CD pipelines to ensure quality and smooth deployment. Work with stakeholders to understand data requirements … security. Knowledge of MuleSoft or similar platforms for data extraction and API management. Experience with dbt, GitHub, CI/CD, and automated testing. Understanding of data modelling principles and semantic layer creation. Knowledge of data governance, lineage, monitoring, and alerting. Ability to translate stakeholder requirements into technical solutions. Familiarity with data privacy regulations like GDPR and security best More ❯

and social activities Lunch allowance for use within our subsidized onsite canteen Must have skills At least 6 years development experience using Power BI to include dashboard building and semantic layer modelling. At least 3 projects experience in analyzing and improving performance issues in Power BI dashboards. To include inefficiencies in DAX coding and SQL. Experience with creating More ❯

flow and synchronization across platforms Improve data quality and reliability Promote a data-driven culture within the organization Enhance data governance through principles and documentation (Flow Diagram, Data Dictionary, Semantic Layers) Monitor data workflows, set SLIs, and configure alerts for data quality issues Skills, Knowledge, and Experience Essential At least 1 year of data engineering experience with data platforms More ❯

AWS and Snowflake to refine go-to-market strategies at the account level. Understanding of Agile methodology for development and execution. Proficient in data consumption design patterns such as semantic layers and visualisations. Experience in implementing MLOps projects. Maintain an active learning approach, stay current with industry trends, and apply insights to develop solutions, initiate projects, and shape capability More ❯

new developments and data structures align with an established data model and adhere to agreed design principles. Knowledge of using different data architecture layers (i.e. staging, integration, presentation and semantic layers) in the production of analytics and dashboard creation. Database administration experience gained within a busy digital operations department. Knowledge of NHS data definitions, standards, data manual and statutory More ❯

and trusted models used company-wide Partner with analytics engineers, analysts, and platform teams to raise the bar for data quality and modeling Help define the future of our semantic layer, testing strategy, and platform workflows Be a go-to technical leader—bringing alignment and clarity to complex data challenges What You Bring You’ll thrive in this … the modern data stack, especially dbt, BigQuery, and orchestration tools (e.g. Airflow, dbt Cloud) Proven ability to design end-to-end data architecture—from ingestion to warehouse modeling to semantic layers—not just implement someone else’s plan A strong understanding of data modeling and platform trade-offs, and the ability to drive architectural decisions that balance short-term … platform-level bottlenecks and propose scalable architecture improvements We’re committed to helping you develop your career—whether that means growing into broader technical leadership, defining strategy for our semantic layer, or mentoring the next wave of engineers joining the team. Show me the benefits! Your own Pleo card (no more out-of-pocket spending!) Lunch is on More ❯

You will oversee the progression of their Databricks setup from proof-of-concept to production, ensuring high levels of optimization and scalability for global operations. Responsibilities include implementing a semantic layer for data management, developing data pipelines, and enabling real-time reporting and visualization. Post-platform deployment, the focus will shift to applying Data Science techniques to build More ❯

on experience managing Snowflake environments Hands on experience administering replication tools like Qlik , Fivetran etc Hands on experience with ETL tools like TalenD Hands on experience with reporting and semantic layer tools Five years of cloud deployment experience, preferred with Azure experiences Demonstrated cloud deployment experiences using standard CI/CD pipeline Working experience with highly segmented networks More ❯

ownership and advancement. Opportunity to work with cutting-edge tools. We have a modern data stack and are leaning into AI tools like Cursor and pursuing new techniques like semantic layers that accelerate our productivity and impact. THE UPSIDE Equity: Have a stake in the business that you're helping to build and grow. Work remotely: Live and work More ❯

to consume reports in tools like SSRS, Power BI, QlikView etc. Work with the reporting architect to influence the design of the base data model as well as the semantic layer Cater communication around complex technical problems and solutions to audiences ranging from business users to data and technology teams About You Advanced SQL skills Advanced SSRS Power More ❯