Data Developer (m/f/d)

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We're looking for a motivated and driven Data Engineer/DevOps who will help us shape our team, drive the company to the next level, and have the most direct influence on our success.

The team you will be joining owns the Customer Journey Analytics pipeline at FLIX, and it's a self-organized and cross-functional team with a high focus on autonomy and ownership, using typical Agile frameworks. Moreover, we invite you to be an active contributor to the Engineering Community and challenge the Status quo at FlixTechl

Our goal is to enable everyone at FLIX to make better and faster business decisions by generating insights from our Customer Journey Data as fast and easy as possible. Our responsibility doesn't stop at providing and maintaining tooling for that. We capture, enrich, and transform the collected raw data into a data model used by analysts and other data teams.

Our tech stack:

  • AWS
  • Python
  • Snowflake
  • Kubernetes
  • SQL
  • PySpark
  • Docker
  • Terraform

Your Tasks – Paint the world green

    • You will maintain and adjust the data model to our customer needs.
    • You feel fully responsible for our data quality by adding and improving tests.
    • You will be expected to use automation wherever possible and follow Infrastructure-as-Code guidelines.
    • You will take part in continuous improvements and maintenance of our Spark applications.
    • You will consult and support our data analysts and collaborate with other data teams.
    • You will maintain/improve/optimize our infrastructure stack that relies on AWS, Kubernetes, PySpark, Docker, Terraform, Snowflake and CI/CD pipelines.

What will make me successful in this role:

  • At least 3 years of experience as a Data or DevOps Engineer.
  • You are familiar with CI/CD and believe in DevOps (You build it - you run it)
  • You have worked with cloud-based infrastructure providers, especially AWS
  • Proficient in Python and SQL
  • You are familiar with developing batch and realtime application using Spark.
  • Willingness to write infrastructure as a code, ideally Terraform.
  • You are able to assess data quality with tools like Jupyter Notebook and SQL based tools like Snowflake or AWS Athena
  • You have worked with Docker and Kubernetes (experience with Helm deployments is a plus).
  • You have experience with distributed message systems (experience with Kafka is a huge plus).
  • You are ideally familiar with the Snowplow Analytics open source platform
  • You are fluent in English.

Our Perks – More than just a job

  • Have an impact. With innovation and smart technology, we are changing the way people travel, and you too can have an impact on this ride.
  • Trust-based working. We don't punch the clock – organize your own schedule. We trust in what you do!
  • Push boundaries. Everyone is equally important and works together on uncharted challenges alongside inspiring colleagues from all over the world.
  • Fun at work and beyond. Discover the world with your free FlixBus rides and join our regular team events – there's always something to celebrate!
  • Feel at home. We provide you with a laptop, comfortable working space, free drinks, a casual dress code, diverse employee discounts and more.

Want to rewrite the history of mobility with us? Then join our ride and apply now. We're excited to hear from you!

FlixMobility – A place to enjoy work and have an impact

The future of transportation is Green. Here at FlixMobility Tech, the R&D group, we develop software with the brightest minds from around the world to engineer new experiences for our millions of customers across our apps and websites. Every day we solve challenging problems, like how to scale rapidly around the world and how to make an experience that delights our customers. We have a culture of sharing ideas, contributing to open source projects and being an active member in our technical communities.

FlixMobility is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate on the basis of race, color, religion, gender (including pregnancy and gender identity), national, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, age, veteran status, or other legally protected characteristics. All employment decisions are based on business needs, job requirements, competence and merit.


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