5 of 5 Snowflake Jobs in Central London

15+ years of experience in data architecture, data engineering, and analytics platforms Experience with AWS, GCP, Snowflake, Databricks and Azure data services Strong background in data integration, reporting, and big data ecosystems Design and implement AI and Gen AI solution for data value chain Lead enterprise data platform modernization from ...

maintain documentation of the data integration patterns, data flows, data standards, data architecture. Provide direction on adoption of modern cloud technologies (i.e., Fabric, Snowflake, Azure) and adopt industry best practices. Play key role in selecting enterprise data tools. Keen eye to deliver project deliverables that are concerned with architecture, security … integration features. Extensive knowledge Data platforms - Fabric, Snowflake, CosmoDB, DataBricks, MongoDB, RDBMS Data replication/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools ...

approaches Responsibilities include: * Develop and enhance full-stack applications supporting investment and trading workflows * Build and optimise cloud-based data platforms and pipelines using Snowflake and DBT * Deliver reporting and analytics solutions using Sigma and Power BI * Support .NET application modernisation and API development initiatives * Contribute to CI/… aligned to engineering standards Skills required: * Strong full-stack engineering experience within financial services or investment or asset management environments * Hands-on experience with Snowflake, DBT, Sigma, and Power BI * Experience supporting credit trading or investment platform implementations * Strong knowledge of cloud-native engineering and modern software architecture * Experience with ...

Application Integration (CAI) . Cloud Ecosystem Connectivity: Seamlessly integrate data across major cloud platforms (AWS, Azure, GCP), SaaS applications, and modern data warehouses like Snowflake or Databricks . Performance Tuning: Act as the senior technical lead for debugging, advanced error handling, and pipeline optimization to ensure high scalability and performance. … mandatory requirement). The Full Suite: Deep proficiency in both CDI and CAI modules. Data Environment Knowledge: Solid experience integrating with cloud data platforms (Snowflake, Databricks) and cloud providers (AWS/Azure/GCP). Experience: 6-8 years of overall experience in ETL/Data Integration. Best Practices ...

15+ years of experience in data architecture, data engineering, and analytics platforms Experience with AWS, GCP, Snowflake, Databricks and Azure data services Strong background in data integration, reporting, and big data ecosystems Design and implement AI and Gen AI solution for data value chain Lead enterprise data platform modernization from … prem to cloud for banking and insurance clients. Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms. Design and implement AI and Gen AI solution for data value chain Design data integration pipelines (batch, real-time, big data) and analytics platforms ...