Sixt is a leading mobility provider offering premium service in over 100 countries. Since the beginning technology has been an integral part of our business. Our Engineers are responsible for designing, building and running the applications making up the core of our mobility ecosystem. They are versatile technologists who have a lot of experience up and down the stack and are comfortable tuning the Linux kernel, automating cloud infrastructure, writing resilient and high-performance code or scaling large distributed systems.
Wir suchen Dich als Data Science Engineer Scala Um die hohe Innovationskraft unserer Portale in den Bereichen Redaktion, Vermarktung und Usability zu stärken, greifen wir zukünftig noch stärker auf die großen Datenbestände zurück, die im Betrieb unserer Portale generiert werden. Dazu planen wir den Aufbau einer Content & Customer Plattform. Deine Aufgaben: Mit Deinem Fachwissen arbeitest Du eng mit unserm Data Science Team zusammen und konzipierst und entwickelst eine state-of-the-art Plattform.
The Opportunity Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics, to big brands, to manufactures - we’re building the platform that connects all people and parts of the fashion ecosystem. You will work for the Data Services department in Zalando, in the team that is taking care of defining our Data Lake. The Data Lake is a platform that aims to collect all the data and business events generated within Zalando, in near-real-time and batch manner, archive them, offer transformation functionalities and data access that will be used to take data-driven decisions.
Take part in the digitalization of well-known brands. Webtrekk is a customer intelligence platform that allows you to connect, analyze and activate your user and marketing data across all devices. Founded in 2004, Webtrekk is driving innovation in high-end Digital Analytics and today has more than 150 employees in 5 locations around the world to set new benchmarks in Digital Marketing. Our powerful high-traffic platform is designed to process more than 300 terabyte raw data and up to 60k requests/sec.
From a technology perspective, we have thousands of sensors with our own firmware installed in our customers’ retail stores around the world. We process terabytes of data via machine learning algorithms and provide a self-service platform for our analytics solutions. We offer a great opportunity for personal and professional growth in a multicultural environment. We work, learn and develop while having lots of fun on the way. Join our team as a DWH/Database Engineer.