Senior Full-stack Software Engineer (Integrations)

Job description

We are looking for a Senior Full-Stack Engineer to join the Integrations team at DataSnipper. The Integrations team builds the connectors that let people and AI agents work directly with the systems a business runs on — ERPs, accounting systems, general ledgers. We make that access simple, secure, and reliable, so our customers spend their time on the work itself rather than on getting data out of their systems. You will work across the stack, C#/.NET on the server side, TypeScript/React on the front end, and Python for AI-powered services, building features that auditors trust with their most critical work. This is a delivery-focused role for an engineer who is excited to make impact and grow in a team that ships fast, holds a high quality bar, and uses AI to accelerate development. About DataSnipper DataSnipper is the driving force behind an intelligent automation platform that’s transforming the world of audit and finance. Founded in 2017, DataSnipper has skyrocketed and is now OFFICIALLY the fastest-growing software company in the Netherlands according to Deloitte Fast50 and recently achieved Unicorn status in our latest funding round. With over 400.000 users in 125+ countries and a second base in the heart of New York City, DataSnipper is shaking things up. And we’re not stopping there. At DataSnipper, we’re always on the lookout for innovators who think outside of the box. New ideas aren’t just welcomed at DataSnipper–they’re essential. What You Will Do Technical Delivery Build and maintain the connectors and services that pull data from ERPs, accounting systems, and general ledgers into DataSnipper, in C# / .NET, TypeScript, and Python . Design the data models and mappings that turn each source system's schema into a consistent shape our product and AI agents can rely on. Own new connector integrations end to end: research the source system's API and auth, build the connector and its agent tools and MCP surface, test against real customer data, and support it after launch. Build the tooling and observability that keeps connectors reliable as source systems change their APIs underneath us. Implement authentication and data handling controls that meet customer security expectations for access to their financial systems. Quality, Reliability & On-Call Write robust, well-tested, production-ready code, unit, integration, and end-to-end tests are part of t…