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Lead Data Engineer

Lead Data Engineer

Berlin, Permanent

We’re looking for a Lead Data Engineer to join one of the tech scene’s most renowned companies when it comes to remote coding challenges and interview processes. In a bid to eliminate bias when someone is applying for a role, they are facilitating faceless tech screenings that encourage people to showcase their developer skills, rather than relying on subjective and personable interactions. Whether you need online code tests to screen thousands of engineers, or a flexible way to run tech interviews remotely, their platform will help you adapt with the times. They are currently used globally and have clients that include Microsoft, Slack, Amazon and Zalando. Their track record speaks for itself!


icon-developmentCreated with Sketch. Development

What to expect:

With teams currently distributed across Berlin, Warsaw, London and San Francisco, they have decided to build a hub where there is inundated tech talent – here in Germany. You will be working side-by-side with the CTO and Director of Infrastructure to build their new Data Platform. The role is broad and you will work with stakeholders to define the data roadmap, select the right tools for the job, design the data architecture and lead the technical implementation. The end goal is an easy plug and play data infra for use by Data Scientists and ML Engineers. On top of this you will hire and build your own high performing data engineering team.


  • Remote first culture with offices across the world that you can use
  • A company that gives you HUGE amounts of freedom
  • Great employee stock options and a great salary package
  • Perks around health, training and education


  • A track record of building a company-wide, greenfield data and analytics stack
  • Practical experience with common data engineering tools (for example, Spark, AWS Glue, GCP Data Flow, Databricks) and workflows (Argo Workflows, Airflow or similar)
  • Not just great at technical implementation, but able to work withs stakeholders across the business and keep the big picture in mind
  • Experience supporting ML and Data Science projects is a big plus

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Thomas Long