YOUR MISSION

We are seeking a highly skilled and experienced Data Engineer to join our team.
Your mission involves building and maintaining medical data pipelines and managing our medical data warehouse in close collaboration with cross-functional teams. Your role will be critical in ensuring the reliability and scalability of our services, directly impacting the product’s effectiveness in improving patients’ lives.

WHAT ARE WE LOOKING FOR?

• A degree in a relevant scientific (Medical/Computer Science, Engineering) discipline or equivalent experience in a related field
• Deep knowledge in databases (SQL/PostgreSQL)
• Deep knowledge in data engineering toolkits (pandas, airflow, airbyte, dbt)
• Proficiency in Python and Docker
• Keen eye for detail and a commitment to scientific accuracy
• Excellent written and verbal communication skills in the English language
• Strong commitment to teamwork and to delivering robust and scalable solutions

Good-to-have:

• Experience working with DICOM and/or in the Radiology field is a big plus
• Familiarity in working with cloud environments (AWS/GCP)
• Experience with NoSQL databases
• Familiarity with machine learning and computer vision methods

We are looking for brilliant, hard-working people who strive to become recognised thought leaders in their domain. If you enjoy learning new things and thrive in a fast-paced environment, we would love to meet you. Together, we will continuously tailor the role to your strengths and development goals.

ABOUT US

Floy is on a mission to build the infrastructure for personalized health. Today, our AI products help radiologists to detect typically overlooked diseases. We envision a future where everybody can access annual holistic health assessments to prevent diseases through early detection.
Floy was founded in June 2021 and raised 12m€ total funding from Europe’s leading investors. Over the last months, the team grew to 60 exceptional people. Our pace only accelerates from here.

• Manage and provide data repositories for AI, medical, and product discovery teams
• Build reliable and robust data pipelines in coordination with product managers & AI engineers
• Administration of quality feedback loops and data surveillance (e.g., production case evaluation)
• Management of annotation pipelines and platforms to ensure a constant data flow
• Support the data engineering team in tasks related to our core infrastructure
• Provide well maintained, documented, and testable code, upholding our high quality standards
• Supervise delivery and quality control of data-sets & content, e.g. hold-out, training-data, data-analysis