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 semanticlayer (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 semanticlayer implementation, showcasing experience in the end-to-end implementation and management of a modern semanticlayer (e.g., Cube) to empower consistent and performant self-service More ❯
from raw/bronze to curated/gold environments, is essential. Expertise in high transaction volume deployments is mandatory. Additionally, an understanding of Data Modeling, tabular object model, or semanticlayer development, as well as Microsoft Power BI capabilities, is advantageous. The role also involves serving as an advisor and partner in the deployment of our business applications 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 semanticlayer 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 semanticlayer 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 semanticlayer, 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 semanticlayer 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 semanticlayer 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 semanticlayer, 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 semanticlayer 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 semanticlayer 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 semanticlayer, 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 ❯
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 ❯
our FAMILY. Overview Reporting to the Director of Machine Learning Engineering the role requires an experience Data and Machine Learning Platform Engineer to design and development of a unified semanticlayer framework for the Data and ML Platform. The ideal candidate will have a strong background in data engineering, programming, and machine learning algorithms and will be passionate … about leveraging data to drive business decisions. Primary Responsibilities Design and Develop a scalable modular semanticlayer framework, which can be seamlessly integrated with various Data and AI/ML components across the organization Ensure the semanticlayer is aligned with industry standards and best practices for knowledge representation such as RDF, OWL and SPARQL. Develop … the necessary frameworks and interfaces to enable the integration of semanticlayer into various AI/ML use cases. Establish the Governance processes and mechanisms to maintain the integrity, consistency and accuracy of the semanticlayer over time. Provide training and support to the wider engineering and business teams to facilitate the adoption and effective utilization More ❯
experience in designing Data & AI solutions Strong knowledge of Microsoft Azure (preferred: Microsoft Fabric, Azure Synapse, Azure ML) Hands-on experience in at least 3 of the following areas : SemanticLayer & Data Modeling Data Warehousing & Engineering Real-time Data Pipelines Machine Learning & MLOps Generative AI/LLMs IoT Architecture Data Governance & Quality Management Familiarity with agile project methodologies More ❯
Be able to work independently as well as within a team Works directly with end-users or a projects team to translate business requirements into technical specifications to drive Semanticlayer and report Prioritize technical issue resolution. Requirement gathering & understanding, effort estimation, technical design, project planning and monitoring Required to review the day to day delivery work with More ❯
from user interfaces to APIs and data ingestion—while keeping security front of mind. Key Responsibilities Build and maintain our Vue 3 platform plus supporting APIs, microservices, database and semantic layers. Write clean, well‐tested code and review peers’ work. Day to day operation of systems, including availability, security and data integrity Collaborate daily with product, data and DevOps 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 ❯
and stored procedures • Build new Power BI reports and dashboards, following the full change control process • Serve as the Power BI lead-taking ownership of architecture, report design, and semanticlayer development • Analyze data flows, perform source-to-target mapping, and resolve complex data quality or transformation issues • Provide expertise in BI performance tuning and report optimization • Manage More ❯
engagement skills across all levels Experience with data management tools and platforms Ability to manage multiple projects in a dynamic, fast-paced environment Familiarity with knowledge graphs and building semantic layers from data products is a strong advantage Preferred Skills Deep understanding of pharma manufacturing best practices More ❯
engagement skills across all levels Experience with data management tools and platforms Ability to manage multiple projects in a dynamic, fast-paced environment Familiarity with knowledge graphs and building semantic layers from data products is a strong advantage Preferred Skills Deep understanding of pharma manufacturing best practices More ❯
