Data Engineer

About […] […] is building the world’s first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients.

In the future, every wealth management firm will run on […]. […] was founded by an exceptional team of ex-Revolut executives and has raised $110 million in just two years, including a $70 million Series B led by EQT Ventures & Growth, backed by world-leading investors including Sequoia Capital, ICONIQ, and Ribbit. The Role Every firm joining […] brings its own systems, schemas and data quirks.

Your job is to make that complexity easier to handle: build a Python ingestion framework that turns the next customer integration into something we can reuse, improve and scale. You’ll also build the real-time pipelines connecting PostgreSQL and Snowflake, keeping data flowing reliably as […] grows. You’ll join our Data & AI Platform team, with plenty of room to shape how we build.

There’s existing code to improve, new infrastructure to design and an opportunity to use LLMs to make schema mapping and onboarding less manual. If you like understanding a messy problem, making practical decisions and seeing your work run in production, there’s a lot here to get stuck into. What You’ll Do Build a reusable Python ingestion framework that makes each new customer integration faster and replaces our legacy Java ETL.

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