Data Engineering Leader for Medical AI Infrastructure

Vor 3 Tagen


Munich, Bayern, Deutschland Floy Vollzeit

Floy is a pioneering organization in medical AI, committed to maximizing human health through innovative solutions.

We are seeking a highly skilled and experienced Data Engineer to lead the development of our medical data pipelines and manage our medical data warehouse.

This role involves:

  • Pipeline Development: Designing and building efficient medical data pipelines to support AI, Medical, and Product Discovery Teams.
  • Data Warehouse Management: Overseeing the administration of our medical data warehouse, ensuring high-quality data repositories for various teams.
  • Quality Control: Managing quality feedback loops and data surveillance to maintain production standards.
  • Infrastructure Support: Collaborating with the data engineering team to enhance our core infrastructure.

To be successful in this role, you will need:

  • Strong Technical Background: A degree in a relevant scientific discipline or equivalent experience in a related field.
  • Database Expertise: Deep knowledge in databases (SQL/PostgreSQL) and proficiency in Python.
  • Toolkit Familiarity: Experience with data engineering toolkits (pandas, airflow, airbyte).
  • Excellent Communication Skills: Effective written and verbal communication in English.

As a Data Engineer at Floy, you will have the opportunity to contribute to a mission that enables personalized health through early disease detection. Enjoy a flexible remote work culture, fun team events, and fair compensation.

Our estimated salary for this role is $120,000 - $180,000 per year, depending on location and experience.



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