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wehave l Measure and Increase Conversion In Sponsorships With Data Collaboration
We are a funded Belgian startup (SaaS) specializing in data collaboration in sponsorships and marketing. Companies generate lots of “first-party” data about their customers and business. Our secure data collaboration platform (also known as data clean room) allows companies to collaborate - virtually combining their data - without exchanging it. Measure customer overlap in a sponsorship to see its value. Measure customer overlap between companies to analyze user behavior. Let companies craft the perfect marketing segment for advertisement. We do the heavy lifting of making data compatible, making it super easy for marketeers to gain value with a few clicks.
🚀 We are a recently funded (€1M+) startup, hyper-motivated to dominate the European sponsorship market by 2026.
⚡ We build and ship at lightning speed, as a startup should. We are not corporates, there are no rules that slow us down.
🏋️ Personal growth. Not only does our startup grow, we grow with it. Joining a fast-moving startup gives you the opportunity to improve on every possible area. Whether it’s enterpreneurship, software architecture, project mgmt., lead a team, become an AI expert, …
🥅 Work hard, play hard. We expect commitment and effort. In return you get a team that you actually want to work with, no boring meetings, ever, promise.
🗣️ Responsibility. Nobody is just a number in our team. Everyone takes ownership of his domain, and is proud to deliver his best results towards the rest of the team. We support each other as much as we can. Dare to fail, this is how you learn.
We are looking for a Backend Engineer (AWS & Python) who will work in a small team right along the founding engineer. Day-to-day you would help building out our SaaS, potentially researching and architecting.
Our SaaS is a multitenant structure built on top of AWS. We make our clients’ data interoperable and automate extracting insights.
Our techstack in a nutshell: FastAPI + Python (lots of pandas) + DynamoDB + S3 + Glue + Clean Rooms + (Spark) SQL + CodePipeline + all the AI tools we can leverage.
Requirements: