7 of 7 Permanent Snowflake Schema Jobs in the City of London

data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load … unstructured content into structured meta-data; Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake ...

data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python). Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load … unstructured content into structured meta-data. Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs. Solid ETL development, reporting knowledge based off intricate understanding of business process and measures. Knowledge of Snowflake ...

including: OneLake Lakehouse Data Warehouse Data Factory Real-Time Intelligence Semantic Models Governance Experience working with modern cloud data platforms such as: Azure Databricks Snowflake Strong data modelling expertise Deep understanding of modern data architecture principles and patterns Experience delivering data platforms across the full lifecycle from ingestion through ...

data management and governance, including data quality, lineage, data contracts, cataloguing and critical data elements. Enough technical understanding of modern data platforms, such as Snowflake, data modelling and ELT, to work credibly with engineers and judge feasibility. A collaborative approach, working as one team with Data Engineering, Analytics ...

customers move away from legacy data warehouses, databases and fragmented data estates towards modern lakehouse, warehouse and federated designs on platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. In a pre-sales capacity, there is a demand for both technical and commercial awareness coupled with an ability … consumption-based platform costs and how to optimise them. Independent Platform Viewpoint - Give customers impartial, evidence-based advice across platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. Recommend the right fit for their requirements, existing investments and skills, rather than defaulting to one vendor. Opportunity Qualification & Discovery - Work ...

architecture, champion best practices in data modelling and governance, and help create a scalable, data-driven foundation for the business. Leveraging your expertise in Snowflake and dbt, you will enable the delivery of trusted, well-governed data that supports critical functions including analytics, pricing, risk, and strategic decision-making … make an impact Architecture & Strategy Define and implement the enterprise data architecture aligned to insurance business priorities (underwriting, claims, actuarial, finance) Design and optimise Snowflake-based data platforms, ensuring scalability, security, and cost efficiency Lead the transition from legacy policy, claims, and finance systems to modern cloud data solutions ...

opportunities. You will design modern data platforms, enable data-driven decisions, and guide customers from legacy estates toward lakehouse/warehouse architectures on Databricks, Snowflake, Microsoft Fabric and Starburst. The role combines technical leadership with pre-sales engagement, governance, security, cost awareness, and collaboration with Solution Sales, partners ...