Join us on a shared journey that matters!

At MOIA GmbH, our team of more than 250 employees develops the technical products for our on-demand ridepooling service in the form of an end-to-end integrated product, from hub, fleet, and driver management to passenger and B2B solutions. At the same time, we want to make the vision of an autonomously driving mobility service a reality and plan to bring the first autonomous MOIA vehicle to the streets by 2025.  

At our offices in Berlin and Hamburg, international teams of developers, engineers, designers, and strategists work on a shared mission. As a tech company, more than half of our employees are developers. We pursue value-driven development based on our product values of comfort, reliability, safety, and privacy. 

We aspire to be a leading company in the fields of rethinking mobility and improving urban transportation by making it more relaxed, more affordable and an entirely positive experience for everyone. 

MOIA gets things moving. On a shared journey – towards an easier, smarter, and more meaningful future. 

About your team 

Your future team consists of Data and DevOps Engineers who assure that all data generated at MOIA can be accessed and processed in our data platform. We highly rely on a wide variety of AWS services in order to build our data products and keep our stack as serverless as possible. You will work at the core of MOIAs data engine room and interact with colleagues from 25+ different Teams. We provide tools, operate services and evangelize best practices so that data at MOIA is processed in a efficient, secure and privacy compliant way. We strive towards enabling our users to work as independently and self-sufficiently as possible 

What you will do 

  • You will optimize MOIAs data lake house architecture towards performance and efficiency  
  • Design, implement and maintain MOIAs core data infrastructure 
  • You will design and develop frameworks and tools which support all teams at MOIA to implement, maintain and automate their data workloads 
  • Collaborate with our distributed analytics teams to improve the resilience, performance and quality of their data products and pipelines 
  • You challenge the status quo when necessary in pursuit of excellence and continuous improvement 

What will help you to fulfill your role 

  • Work experience as a Data Platform Engineer, (Big) Data Engineer or Cloud Platform Engineer 
  • A strong command of either Python or a modern JVM based programming language like Scala or Kotlin. 
  • Strong understanding of distributed SQL query engines like Athena or Presto and cloud data warehouses like Redshift or Snowflake 
  • Experience writing ETL/ELT data pipelines with Spark, pandas or dbt 
  • Familiarity with the AWS Platform and its Services (Kinesis, Lambda, ECS, Lake Formation, EMR, Athena, Glue, IAM) 
  • You are passionate about Infrastrucure-as-code, continuous integration and continuous deployment  
  • Previous experience with Airflow or other workflow orchestration frameworks is a plus 

We encourage you to apply even if your profile does not meet all of the requirements for the role yet. We embrace individual growth at MOIA. 

 

Be who you are!

We are a member of Charta der Vielfalt and are actively working on creating a workplace that promotes and values diversity in age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA we embrace a culture, where people feel accepted, respected, valued, appreciated, and included.

We offer unconscious bias training regularly for all our employees. Also, we are working on making our hiring process as inclusive as possible, such as ensuring a diverse hiring panel. To reinforce an unbiased screening process, we kindly ask you not to include any photograph in your application.

Our Future Work model

Since we love to collaborate, it is clear to us that we don't want to become a fully remote company, but we also don't need to spend every day of the week in the office to do a great job.

Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for the teams and the individuals with as much self-determination as possible.

Get more insights on how we work on our blog or follow us on Twitter to find out more about our hiring process.

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