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Orbis are partnering with a global Investment Management firm building out their Data and AI capabilities. As part of this exciting new development, they're looking for a Senior Data Engineer with Strong Snowflake and Data Warehousing experience. This is an incredible opportunity to work a technically progressive Investment Management firm as they continue a journey to fully optimise their technology and data estate to leverage the value of AI.
Job Responsibility:
Designing and developing the Snowflake-based data warehouse, leveraging Cortex to enable advanced AI/ML use cases
Integrating platforms and third-party data sources into the firm's architecture, ensuring clean, reliable and well-governed data flows
Building and optimising data pipelines, designing robust data frameworks, improving data quality, and enabling downstream analytics and reporting
Requirements:
5+ years' commercial experience in Data Engineering, ideally with a background in Financial Services
Strong hands-on commercial experience with Snowflake (ideally experience with Snowpark and SnowSQL)
Strong Data Warehouse development experience (ideally Star Schema)
Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing