A leading asset manager is embarking on a cloud-based data transformation and is seeking a skilled Snowflake/Azure Data Engineer to support the delivery of a scalable, secure, and insight-ready data platform. This greenfield initiative will enhance capabilities across investment operations, risk, compliance, ESG reporting, and portfolio analytics. This role offers the opportunity to work closely with technical leads and senior business stakeholders, owning core aspects of Azure-native data pipeline development, with Snowflake playing a key role in the modernisation roadmap.

INSIDE IR35 3 DAYS ONSITE AT THE OFFICE IN LONDON Responsibilities: Snowflake Ownership: Take the lead in designing, developing, and optimising data pipelines, models, and workflows in Snowflake, with responsibility for performance, cost-efficiency, and governance.

Optimise query performance and storage efficiency using Snowflake features such as clustering, partitioning, and resource monitoring.

Azure Data Engineering: Build and orchestrate ETL/ELT pipelines using Azure Data Factory, with staging and transformation pipelines integrating into Snowflake and Azure SQL.

Technical Collaboration: Work alongside architects and engineering leads to implement secure, well-governed, and performant data infrastructure - leveraging tools like Git, Terraform, DBT, and CI/CD pipelines.