Job Properties
  • Job Type
    Full-time Position
  • Background
    Other Science and Tech
  • Languages
  • Experience Required
    1 - 2 Years
  • Degree Required
    • Province
      Postcode 1057 in Amsterdam West
    • Date Posted
      December 30,2020
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    Data Engineer

    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 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 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
    • Apply data modelling methodologies and contribute to the fundament for Analytics and machine learning models
    • Be agile both within and across teams, democratizing access to data for anyone within the organization.

    We truly get excited if you

    • Have 6+ years work experience in computer science industry, of which 3 years in the field of data engineering
    • Have past experience in designing and building large-scale data platforms with reliability and maintainability in mind
    • Have extensive experience with one or more programming languages (Python preferred)
    • Know your way around Git, Docker, Google Cloud, Kubernetes
    • Have strong SQL and relational data modeling skills
    • Have a focus on quality, you can challenge a solution and promote different viewpoints if necessary
    • Have strong understanding of data models and data warehouses in general (PostgreSQL, mongoDB)
    • See yourself as a flexible person in terms of getting the job done
    • Have excellent communication skills in English
    Bonus points if you
    • Have a BSc / MSc degree in Computer Science or a related field
    • Have experience with one or more of the following languages: Go, Java, Node/Typescript
    • Have experience with frameworks for distributed processing of large data sets (Hadoop, Spark, Elastic MapReduce)
    • Have hands-on experience with integration of event driven datastreams

    Joining our ride is becoming part of the leading global platform in urban mobility. Having a direct impact on the business with a high degree of independence, will give you the opportunity to develop yourself rapidly.

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