26 to 42 of 42 Semantic Layer Jobs

phase through to production, ensuring a high level of optimisation and scalability to operate at a global scale. This will also involve implementing a semantic layer within the platform for effective data management and organisation, as well as the development of associated data pipelines and real-time reporting More ❯

solutions Strong knowledge of Microsoft Azure (preferred: Microsoft Fabric, Azure Synapse, Azure ML) Hands-on experience in at least 3 of the following areas : Semantic Layer & Data Modeling Data Warehousing & Engineering Real-time Data Pipelines Machine Learning & MLOps Generative AI/LLMs IoT Architecture Data Governance & Quality Management More ❯

phase through to production, ensuring a high level of optimisation and scalability to operate at a global scale. This will also involve implementing a semantic layer within the platform for effective data management and organisation, as well as the development of associated data pipelines and real-time reporting More ❯

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 More ❯

as well as within a team Works directly with end-users or a projects team to translate business requirements into technical specifications to drive Semantic layer and report Prioritize technical issue resolution. Requirement gathering & understanding, effort estimation, technical design, project planning and monitoring Required to review the day More ❯

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. More ❯

domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer. We'll trust you to: Maintain and evolve a roadmap for the discovery layer of the Company Financials … to market* Knowledge of how company financials data is used by different financial market players Proven skills in designing systems for data modelling and semantic modelling Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product We'd love More ❯

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 More ❯

analytics and operational needs. Define data modeling standards, naming conventions, and design patterns aligned with data governance. Support development of Data Warehouses, Lakehouses, and Semantic Layers. Document data entities, relationships, metadata, and lineage. Assist in data quality analysis and troubleshooting data issues. Collaborate with data engineers, architects, and analysts More ❯

the business with knowledge transfer, testing, documentation, and service acceptance. Work with Data Engineers to build an effective data model for BI (consumption, presentation, semantic layers) to maximise efficiency and democratisation. Work with IT to understand the implications of system changes on performance reporting outputs. Support the review and More ❯

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 ❯

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 ❯

and driving transformation across the organisation. We recently completed a proof of concept with a product called Cube. Cube is an example of a semantic layer that we think can help us deliver the opportunities we identified. Our proof of concept was successful. We are now seeking to More ❯

open-source frameworks. Implement modern DataOps and MLOps practices, including CI/CD pipelines and monitoring. Establish and maintain reusable enterprise data models and semantic layers for self-service analytics. Mentor and develop a high-performing engineering team. Collaborate with stakeholders to embed insight and AI in product delivery … and business decision-making. About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills in Python, SQL More ❯

open-source frameworks. Implement modern DataOps and MLOps practices, including CI/CD pipelines and monitoring. Establish and maintain reusable enterprise data models and semantic layers for self-service analytics. Mentor and develop a high-performing engineering team. Collaborate with stakeholders to embed insight and AI in product delivery … and business decision-making. About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills in Python, SQL More ❯

open-source frameworks. Implement modern DataOps and MLOps practices, including CI/CD pipelines and monitoring. Establish and maintain reusable enterprise data models and semantic layers for self-service analytics. Mentor and develop a high-performing engineering team. Collaborate with stakeholders to embed insight and AI in product delivery … and business decision-making. About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills in Python, SQL More ❯

open-source frameworks. Implement modern DataOps and MLOps practices, including CI/CD pipelines and monitoring. Establish and maintain reusable enterprise data models and semantic layers for self-service analytics. Mentor and develop a high-performing engineering team. Collaborate with stakeholders to embed insight and AI in product delivery … and business decision-making. Virtual job fairs About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills More ❯