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Nevis Wealth

Automates financial advisor administrative workflows

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 4 years of data engineering experience building Python and SQL pipelines for complex integrations involving unfamiliar sources, inconsistent schemas, and incomplete documentation.
  • Hands-on experience with streaming and change data capture, including schema changes, backfills, and recovery after failures.
  • Production experience with PostgreSQL, Snowflake, cloud infrastructure (ideally AWS), and Airflow or similar tools, including deployment, monitoring, and troubleshooting.
  • Daily use of AI tools, with concrete examples of integrating them into workflows to automate tasks and improve development.

Responsibilities

  • Build a reusable Python ingestion framework that makes each new customer integration faster and replaces the legacy Java extract, transform, and load system.
  • Keep PostgreSQL and Snowflake in sync through reliable real-time streaming and change data capture pipelines.
  • Use large language models to map customer schemas and reduce manual integration work.
  • Own production pipelines, including deployment, monitoring, data quality, recovery, and secure handling of customer data.

Desired Qualifications

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

About the Company

Nevis Wealth

Automates financial advisor administrative workflows

Nevis Wealth provides an AI platform that automates administrative and operational tasks for financial advisors. The system integrates with a firm’s existing tools to generate AI-powered meeting summaries, tasks, client briefs, cross-system search results, client-ready emails, and streamlined account openings. It differentiates itself by targeting wealth management firms and RIAs with a comprehensive, end-to-end workflow solution and backing from major investors to scale deployment. The goal is to reduce the time advisors spend on non-client work and help them grow their practice while improving client service.

Company size
51-200
Company stage
Series B
Total funding
$110M
Headquarters
London, United Kingdom
Founded
2024

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