76 to 95 of 95 Permanent Semantic Layer Jobs

Azure cloud platform and working closely with BI and data product teams throughout. About you Strong track record delivering modern data platforms and semantic layers Proven experience working with related Azure services (Data Factory/Databricks etc..) Strong ERL/ELT pipeline exposure within cloud environments. Familiarity with ...

best practice, ensuring consistency, scalability, data quality and sustainability of analytical solutions. Be accountable for the delivery of high‐quality analytical datasets and semantic layers that enable self‐service business intelligence, advanced analytics and data science across the organisation. Provide technical leadership and specialist advice on data structures, modelling ...

Cloud Platforms (GCP, AWS, Azure) Data Warehouses (BigQuery, Snowflake, Redshift) LLMs/AI APIs Git/GitHub Nice to have Data Transformation (dbt) Semantic Layers (Cube, Looker, dbt Metrics) TypeScript Bayesian modeling experience, ideally Marketing Mix Models (PyMC, Stan, or similar), understanding priors, MCMC sampling, posterior diagnostics. Causal inference ...

Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic and curated layer and data marts. Delivering complex analytics workstreams end-to-end, and working within an Agile framework to break down requirements … broker or specialty (re)insurer. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning, RLS and deployment via pipelines. A strong ...

organisation. The Role Support a major data platform migration, helping to build strong architectural foundations. Design and implement dimensional models and a robust semantic layer to enable trusted, self service analytics. Introduce and embed dbt as part of the transformation and modelling layer. Establish effective data governance using … Experience Strong commercial experience as a BI Data Architect or BI Engineer in modern analytics environments. Proven capability in dimensional modelling and designing semantic layers for BI tools. Hands on experience with Databricks and lakehouse style architectures. Working knowledge of Unity Catalog or similar data governance frameworks. Experience implementing ...

organisation. The Role Support a major data platform migration, helping to build strong architectural foundations. Design and implement dimensional models and a robust semantic layer to enable trusted, self service analytics. Introduce and embed dbt as part of the transformation and modelling layer. Establish effective data governance using … Experience Strong commercial experience as a BI Data Architect or BI Engineer in modern analytics environments. Proven capability in dimensional modelling and designing semantic layers for BI tools. Hands on experience with Databricks and lakehouse style architectures. Working knowledge of Unity Catalog or similar data governance frameworks. Experience implementing ...

Knowledge & Expertise Technical Skills Demonstrable technical knowledge of Microsoft Fabric as the primary data platform (OneLake, Lakehouse/Warehouse, Notebooks, Data Pipelines, Dataflows Gen2, Semantic Models/Power BI), including security/governance and Git‐based delivery. Familiarity with Azure data services (for example ADLS/Azure … Python (and DAX where required), with an engineering mindset around testing, readability, and performance. Strong analytics capability across the Microsoft BI stack (Power BI, semantic modelling, governance and performance), with experience modernising from legacy MSBI where applicable. Demonstrable understanding of enterprise data concepts: dimensional modelling, lakehouse/warehouse patterns ...

implement our future ERP systems. The Data Engineer will design, build, and support the pipelines, data structures, quality controls, security model, and semantic layers needed to deliver trusted executive KPI reporting, cross-functional analytics, and future AI-enabled business insights. The environment includes multiple enterprise business platforms across manufacturing … data quality checks, exception handling, reconciliation routines, and monitoring to improve trust in reporting and reduce manual work. Support Power BI delivery through governed semantic models, dataset optimization, security configuration, and drill-through to transaction-level source data. Help define and implement role-based access, row-level security, object ...

maintain data pipelines for a new reporting solution within the business. You'll be responsible for the build across ingestion, modelling and creating semantic layers using their GCP stack. Successful applicants will have experience with: Looker BigQuery GCP Gemini Exceptional candidates would have worked with: Retail Data ...

modern analytics engineering (DBT, Snowflake, Fivetran or equivalent) and can provide strong technical oversight without being hands-on day-to-day. Working knowledge of semantic layers and understand how they underpin reliable, consistent data access, including enabling AI tooling If the above is of interest, please apply with ...

trusted data products that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems … scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. Champion Data-as-Code ...

Power BI, Looker, ThoughtSpot, Oracle BI) into a single enterprise platform aligned to stakeholder needs and long ‐ term strategy Establish BI architecture principles, including semantic layers, shared datasets, reporting standards, and self ‐ service frameworks Act as a senior leader in cross ‐ functional forums, influencing strategy and decision ‐ making using … Engineering, Data Governance, and Data Science to ensure BI consumption layers are built on robust, governed, well ‐ modelled data assets Drive adoption of standardised semantic models, shared datasets, and governed self ‐ service analytics frameworks across the organisation Define and maintain BI standards, documentation, and policies to ensure consistency, compliance ...

data Snowflake-centric analytical environments Vector and retrieval layers AI interaction patterns Define scalable, secure integration patterns across systems. Architect AI-Ready Foundations Design semantic models and governed data layers that support: LLM-powered extraction and reasoning Internal knowledge systems AI copilots and workflow automation Ensure data is structured … modern cloud data platforms. Proven experience designing cloud-native data environments (e.g. Snowflake, Databricks, BigQuery or equivalent). Deep expertise in: Data modelling and semantic layers Governance and operating models Data integration patterns Structured and unstructured data environments Experience designing AI-ready architectures that support LLM or RAG-based ...

Hightouch-ready tables are efficient, secure, and well-monitored, and contribute to troubleshooting and optimisation when needed. Support the migration to Looker by building semantic layers and standardised customer KPIs aligned with global definitions. Work with analysts and engineers to design scalable data models that enable self-serve dashboards … sense of ownership and a proactive approach, contributing to the team's success with a collaborative and positive mindset. Openness to learning Looker semantic modelling and supporting our migration from Tableau to a unified reporting platform. Willingness to explore tools like Hightouch or other activation platforms to understand ...

successful candidate will collaborate closely with analysts, stakeholders, and the wider data team to translate reporting requirements into reliable dashboards, datasets, measures, and semantic models. While the business benefits from senior data architecture support, it requires someone to take practical day-to-day ownership of Power BI delivery, improve … ideal for an individual who enjoys hands-on Power BI development but also understands the broader data environment, including data modelling, ERP data, semantic layers, governance, and data warehouse-related activities. Key Responsibilities Develop and maintain Power BI dashboards, reports, datasets, and semantic models. Build DAX measures, reporting ...

simply moving dashboards from one tool to another. ROLES AND RESPONSIBILITIES: The Senior BI Engineer will: Migrate and rebuild datasets, dashboards and semantic models from Power BI into Omni Re think reporting structures to reduce duplication and improve self serve analytics Design reusable datasets and analytics topics to support … preferable to direct migration Support governance, documentation and data quality best practice Help lay the foundations for AI ready analytics within the BI layer YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial SQL capability Experience with Power BI, Looker or similar ...

simply moving dashboards from one tool to another. ROLES AND RESPONSIBILITIES: The Senior BI Engineer will: Migrate and rebuild datasets, dashboards and semantic models from Power BI into Omni Re think reporting structures to reduce duplication and improve self serve analytics Design reusable datasets and analytics topics to support … preferable to direct migration Support governance, documentation and data quality best practice Help lay the foundations for AI ready analytics within the BI layer YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial SQL capability Experience with Power BI, Looker or similar ...

client-facing insight depends on engineers being able to find, understand, trust, and use financial datasets at scale. DataHub is Bloomberg’s experience layer for data. What GitHub is for code, DataHub is for data: the place where engineers discover datasets, understand schemas, request access, publish streams, subscribe … only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier ...

Expanding Protégé workflow adoption and partnering with Commercial teams to unlock expansion opportunities and increase average order value.### AI-Enabled Workflow AccelerationLeading integration of semantic layers and canonical data into Protégé workflows. Ensuring explainability, trust, and defensibility of AI-generated insights. Expanding persona coverage beyond core analysts and delivering … bias toward measurable impact.### Preferred QualificationsExperience in Intellectual Property, legal technology, enterprise analytics platforms, or intelligence tools. Familiarity with large-scale data ecosystems, semantic modeling, and AI-powered insight generation.## Work in a Way That Works for YouWe promote a healthy work/life balance across the organization. ...

Expanding Protégé workflow adoption and partnering with Commercial teams to unlock expansion opportunities and increase average order value.### AI-Enabled Workflow AccelerationLeading integration of semantic layers and canonical data into Protégé workflows. Ensuring explainability, trust, and defensibility of AI-generated insights. Expanding persona coverage beyond core analysts and delivering … bias toward measurable impact.### Preferred QualificationsExperience in Intellectual Property, legal technology, enterprise analytics platforms, or intelligence tools. Familiarity with large-scale data ecosystems, semantic modeling, and AI-powered insight generation.## Work in a Way That Works for YouWe promote a healthy work/life balance across the organization. ...