Data Engineer
Nevis Wealth · Full-time · Posted today
Nevis 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 Nevis.
Nevis 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.
Every firm joining Nevis 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 Nevis 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.
Build a reusable Python ingestion framework that makes each new customer integration faster and replaces our legacy Java ETL.
Keep PostgreSQL and Snowflake in sync through reliable real-time streaming and change data capture pipelines.
Make onboarding smarter by using LLMs to map customer schemas and reduce manual integration work.
Own your pipelines in production, from deployment and monitoring to data quality, recovery and secure handling of customer data.
4+ years in data engineering, building Python and SQL pipelines for complex integrations: unfamiliar sources, inconsistent schemas and incomplete documentation.
Hands-on experience with streaming and CDC, including schema changes, backfills and recovery after failures.
Production experience with PostgreSQL, Snowflake, cloud infrastructure (ideally AWS) and Airflow or similar tools. You own deployment, monitoring and troubleshooting.
You use AI tools daily, with concrete examples of integrating them into your workflow to automate tasks and improve how you build
Experience with dbt and DuckDB.
Experience managing infrastructure with Terraform.
Familiarity with cross-warehouse data sharing or LLM-assisted data integration.
Work alongside a high-calibre founding team backed by some of the best investors in the world.
A fast-paced, high-growth environment with the opportunity to shape how the business operates.
Be part of a mission-driven company transforming the wealth management industry with huge potential for global impact.
25 days’ annual leave.
Private medical insurance.
Competitive salary and benefits package, including company equity.
United States