Flash is revolutionizing urban mobility. We are changing how people move around cities by developing and deploying a smart, fun and environmentally-friendly transportation system. Headquartered in Berlin, but with mostly-autonomous local teams distributed across major European cities, we are starting by launching a fleet of next-generation electric kick-scooters.

And this is only the beginning. Flash is one of the fastest growing global tech start-ups, with the bold ambition of improving people’s lives through safe, convenient, affordable and comfortable mobility.

Come join our team, be part of this exciting journey, help to build a more sustainable future! 


In this role, you will work closely with the Platform Engineering, Analytics, Data Science, and Product Management teams to power insights that improve the last-mile experience for our users.


  • Lead the ongoing vision, evolution and innovation of our data warehouse infrastructure
  • Architect and maintain reliable ETL processes and data pipelines
  • Scale our data warehouse infrastructure as our products and users grow
  • Help teams analyze business intelligence data and provide any necessary reports (e.g. LTV, UA, ROI, Cohorts, Attribution)
  • Develop reusable tools to make Data Warehousing completely turnkey and easy to use
  • Troubleshoot and tune existing data warehouse applications (e.g. Redshift)


  • B.S. degree in computer science, mathematics, statistics or a similar quantitative field
  • 5+ years of work experience in relevant field (e.g. Data Engineer, BI Engineer, Software Engineer)
  • Experience building ETL/ELT and familiarity with various design principles
  • Experience with Business Intelligence and Analytics tools (e.g. Mode, Tableau, Looker, etc)
  • Experience in scaling and optimizing schemas, optimizing SQL queries and performance tuning ETL pipelines in the OLTP, OLAP and Data Warehouse environments
  • Solid understanding of methods and approaches to relational and NoSQL data stores (e.g. logging, columnar, star and snowflake, dimensional modeling)
  • Knowledge on database performance concepts like indices, segmentation, projections, and partitions
  • Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
  • Proficiency with object-oriented and/or functional programming languages (e.g. Java, Scala, Python, Go) or strong with scripting languages.
  • Excellent written and verbal communication and interpersonal skills, ability to effectively. collaborate and troubleshoot issues with technical and business partners
  • Detail-oriented business acumen and analytical problem solving skills

What We Offer

  • The opportunity to revolutionize urban mobility and change cities for all of us
  • Professional and personal growth building one of the fastest growing startup of 2019 with a very experienced team of entrepreneurs
  • A rapid environment where autonomy, fast decision making and learning by trying is key
  • Working together in a team of the best in their fields from top companies around the world


Ready to undertake your next big thing? Awesome! We look forward to talking with you.  

Your application and personal data will be collected by LMTS Germany GmbH. 

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