Data Engineer

Every business has data it can't quite trust. The numbers are all there, but nobody is confident enough to act on them, and building AI on top of them is out of the question. My client, a long-established global asset management firm, has decided to fix that, and they need a few Data Engineers to help.

You'll join the firm's Enterprise Data team in the City, working alongside the people who manage money for clients around the world. Your week might start with a business expert who has an idea for how AI could change their work. You'll shape that idea with them, then build what sits underneath it: Snowflake pipelines, dbt models, Python and clean SQL, all tested, reviewed and shipped through CI/CD, with Airflow keeping it running. After that comes the part most data engineers rarely get to do. Using Snowflake Cortex, you'll turn that data into working AI use cases that people across the firm actually use. When something breaks, you'll fix it, and you'll write it up so the next person has an easier time.