Nevis Wealth

Data Engineer

Nevis Wealth

Software Development · 51-200 employees

2 d ago
Remote data-engineer Senior (5-10 yrs) Full-time
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About the role

You will build a reusable Python ingestion framework to automate customer integrations and maintain real-time data pipelines between PostgreSQL and Snowflake. Additionally, you will leverage LLMs to optimize schema mapping and ensure the reliability and security of production data systems.

What they look for

Python SQL PostgreSQL Snowflake AWS Airflow ETL Data engineering Streaming pipelines Change data capture LLMs Schema mapping Data quality Infrastructure management Terraform dbt

Requirements

The role requires 4–6 years of data engineering experience with strong proficiency in Python, SQL, and cloud-based data infrastructure. Candidates must have hands-on experience with PostgreSQL, Snowflake, and orchestration tools like Airflow, along with a proven ability to manage production pipelines.

Benefits

Competitive compensation Meaningful equity Equipment provided Support for learning

Full description

About Nevis

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.

The Role

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.

What You’ll Do

  • 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.

Who You Are

  • You have around 4–6 years in data engineering, with strong Python and SQL skills and experience owning production pipelines.
  • You’ve worked hands-on with PostgreSQL, Snowflake, AWS and Airflow or a similar orchestrator.
  • You’ve built streaming and CDC pipelines and know what it takes to keep sensitive data accurate, secure and available.
  • You enjoy turning messy problems into working systems, take ownership across code and infrastructure, and make pragmatic decisions as requirements evolve.

Nice to Have

  • Experience with dbt and DuckDB.
  • Experience managing infrastructure with Terraform.
  • Familiarity with cross-warehouse data sharing or LLM-assisted data integration.

Why Join Nevis?

The work you do here will directly affect how quickly a customer can start using Nevis and how reliably the platform serves them afterwards. You’ll have room to make architectural decisions, work closely with experienced engineers and see the results of those decisions in production.

We offer competitive compensation, meaningful equity, equipment that helps you work well and support for learning as your responsibilities grow.

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