Job description Do you get high on data and technical developments? Great, we do too! The coming years we are facing hyper-growth in The Netherlands and the rest of Europe.
Therefore, our Business Intelligence team is expanding and we are looking for a Medior Data Engineer who will help felyx become even more successful with our data-driven approach.
Why felyx As urbanization is rising and the air quality is deteriorating, we feel the need to make our cities greener and healthier by offering a sustainable mobility solution.
Besides, we offer a new and fun way around town! At felyx, everybody within their own expertise is contributing to a cleaner city by making this swift door-to-door transportation the new status quo.
We are working together as an ambitious team of entrepreneurs, operators, marketers and engineers, and looking to grow as we scale the business throughout Europe.
Do you share our DNA : self-starting, open, social, driven and with a good sense of humor? Great! Join our ride! What you’ll be doing Within felyx, the BI team is responsible for data management, data analysis and development of predictive and prescriptive models.
As Medior Data Engineer you are responsible for driving the business by designing, building and improving a high performance and scalable data landscape.
You will also challenge the status quo with your unique insights which are based on your experience with ensuring data integrity and building data platforms.
Data is at the heart of this effort and is an essential ingredient in felyx’ aggressive growth plan and vision for the future.
We're currently transitioning to a microservices architecture which requires novel solutions when it comes to ingestion and leverage of the data from different sources.
As a member of our team, you will help tackle some of the most fundamental data-driven challenges we face and your work will impact the entire felyx experience.
Challenges that await you : Work closely with Data analysts, Data scientists and Platform engineers for the design, development, enhancement and support of (real-time) data platform solutions.
Design, implement, and maintain scalable data pipelines