Data Platform Engineer, Lakehouse & AI Pipelines
Summary
Design, build and operate data pipelines on a modern Lakehouse and AI data platform in London, covering ingestion, transformation, modelling and data quality to deliver reliable data products for analytics and AI. Core stack is Python or Java with SQL, and experience with Spark and Snowflake is valued.
Goldman Sachs is hiring a Data Engineer to design, build and operate data pipelines on a modern Lakehouse and AI data platform in London. You will contribute across ingestion, transformation, modelling and data quality to deliver reliable data products for analytics and AI use cases.
The role suits engineers who code in Python or Java, work with SQL, and collaborate with cross-functional teams to deliver robust data solutions. Candidates with Spark and Snowflake experience will thrive.