(Senior) Data Engineer

Floy; Stuttgart; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

Join a pioneering medical AI company as a Senior Data Engineer, where you will build and maintain critical data pipelines and warehouses. Collaborate with cross-functional teams to enhance product effectiveness in improving patient outcomes. Enjoy a flexible remote culture and the opportunity to grow within a dedicated team committed to innovative health solutions.

Leistungen

Flexible remote team culture

Company retreats

Fair compensation

Qualifikationen

• Deep knowledge in data engineering toolkits and proficiency in Python and Docker.
• Experience with DICOM and familiarity with cloud environments is a plus.

Aufgaben

• Manage and provide data repositories for AI and medical teams.
• Build reliable data pipelines and manage annotation platforms.
• Supervise delivery and quality control of datasets.

Kenntnisse

Data Engineering

Python

Communication

Ausbildung

Degree in Medical / Computer Science or Engineering

Tools

Pandas

Airflow

Airbyte

DBT

Docker

Jobbeschreibung

We are seeking a highly skilled and experienced (Senior) 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 a cross-functional team. Your role will be critical in ensuring the reliability and scalability of our services, directly impacting the product's effectiveness in improving patients' lives.

YOUR RESPONSIBILITIES

• 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

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 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.

WHY US

Pioneer medical AI to maximize human health. Become part of an ambitious team valuing individuals, dedication and a joyful work experience. Solve novel challenges with life-saving implications.

• We accelerate your learning with rapid feedback, weekly 1 : 1 sessions and inspiring problems.
• We give you autonomy, flexibility and the opportunity to connect with our generation’s brightest minds.
• We provide flexible remote team culture, company retreats and fair compensation.

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 8.8m€ total funding from Europe’s leading investors. Over the last months, the team grew to 45 exceptional people. Our pace only accelerates from here.