Lead Data Engineer at nannyML

Trade Skills
Job Type
Working Location
Fully Remote
Applicant Location


We are looking for a Lead Data Engineer to help architect and build a great product as our first employee. Your expertise comes in to complement the team: you will be responsible for product development from the software and data engineering side: from designing engineering processes, through brainstorming with the founders, to architectural choices and frameworks. You will have the ownership and the decision making power to shape everything that lies between product and research. As we grow NannyML we expect you to grow with us. We envision your path may grow your position into VP of engineering or similar. You will have the opportunity to get meaningfully involved in the areas of product, engineering, hiring and people management among others.


  • Integrate and productionize Data Drift detection and prediction algorithms
  • Develop and deliver CI/CD, version control and testing frameworks
  • Architect, design, and hands-on build the software part of NannyML
  • Handle automation, infrastructure and orchestration
  • Help with implementing NannyML at clients and with clients on-boarding



  • You significantly contributed to building an early stage (data) product as a first engineer or a lead engineer
  • You are familiar with the intricacies of data engineering and have solid DevOps experience
  • Strong experience with Python in back-end development, infrastructure or data engineering
  • 7+ years working as a Software Engineer, Data Engineer, Tech Lead or in a similar role
  • Great communication skills in English - both oral and written
  • You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right
  • You live in or are willing and able to relocate to EU time zones and you are open to travel occasionally

Bonus points

  • Experience using system monitoring tools and automated testing frameworks
  • Experience building enterprise grade software
  • Significant experience with on-premise deployment and integration with enterprise IT systems.
  • Basic familiarity with Machine Learning
  • Masters degree in a STEM related field