1 to 25 of 46 Semantic Layer Jobs

the Director of Machine Learning Engineering the role requires an experience Data and Machine Learning Platform Engineer to design and development of a unified semantic layer 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 semantic layer framework, which can be seamlessly integrated with various Data and AI/ML components across the organization Ensure the semantic layer is aligned with … standards and best practices for knowledge representation such as RDF, OWL and SPARQL. Develop the necessary frameworks and interfaces to enable the integration of semantic layer into various AI/ML use cases. Establish the Governance processes and mechanisms to maintain the integrity, consistency and accuracy of the More ❯

questions and SDK support. Now, we’re looking for a data-savvy counterpart: someone who can help our customers make the most of our semantic layer, guide them through tricky SQL or modelling questions, and create great resources that level up the whole community. Read on if that … sounds like your kind of role... The magic you’ll perform You will... Work directly with data teams using our semantic layer (Cube.dev) to model their data and power customer-facing dashboards Support both technical and non-technical users: from Git-loving data engineers to UI-first data … analysts Troubleshoot SQL, modeling, or schema-related issues — often via chat or async in our community Help customers understand best practices for using a semantic layer in production Contribute to and improve documentation, guides, and examples to make support more self-serve over time Act as a bridge More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 … 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 More ❯

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 More ❯

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 … 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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

scrum environments. Proficiency with JIRA, Bitbucket, or GitHub. Nice to Have: Experience with Azure Synapse, Azure Data Factory, or MS Fabric for ETL and semantic layer management. Commercial awareness in holiday lettings, travel, or tourism sectors. Experience with website/mobile analytics in e-Commerce. Additional experience with More ❯

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 More ❯

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 More ❯

Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials Join to apply for the Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials role at Bloomberg Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials 2 weeks ago Be among the … first 25 applicants Join to apply for the Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials role at Bloomberg Get AI-powered advice on this job and more exclusive features. Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to … 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 More ❯

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 … 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 More ❯

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/… 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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

and enhance overall performance. Key responsibilities include: Translating data requests into efficient, scalable solutions; Designing and maintaining an Enterprise Data Model (EDM) as a semantic layer across all organizational data; Modeling data at both logical and physical levels based on conceptual business needs; Building data pipelines and lakehouses More ❯

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 More ❯