StyleLounge (www.StyleLounge.de) aim is to become the leading search engine for fashion in Europe. In collaboration with experienced companies and well-known investors like TruVenturo and Rocket Internet StyleLounge was founded in 2014 to primarily offer a well functioning price comparison with more than 600 online shops. The core of the company’s technology derives from the self-developed product matching algorithm with which more than 1 million products can be structured and allocated. From StyleLounge’s inaugural launch in 2015, the company has grown tremendously and meanwhile operates in six countries online, seeking to further expand in other markets in 2018.
To support company’s growth phase we are urgently looking for a Junior Data Engineer (m/f)
What we do (read much more atstylelounge.io/technology)
Our Architecture Is a reactive, message-driven, fully decoupled, microservice architecture running on node.js written in TypeScript, properly tested continuously monitored and continuously deployed into a Kubernetes cluster. Our web application like all components consists of microservices, only targets nextgen browsers, uses state-of-the-art features, is written in TypeScript and styled properly but still mainly uses laravel and angular1.5. You will be part of our Business Intelligence team consisting of highly-skilled engineers with a deep understanding of Big Data, automated Monitoring and automated bidding solutions. We leverage cutting-edge tools and services and try to create the best possible technology stack and data infrastructure for our future growth.
We are looking forward to receiving your application (short introduction and resume) including your earliest possible entry date and salary expectations at firstname.lastname@example.org.