(Senior) Data Engineer

floy.com; München; Hybrid; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A health technology company in Munich is seeking a highly skilled Data Engineer to build and manage medical data pipelines. You will collaborate closely with cross-functional teams to ensure the reliability of data services that positively impact patient care. The ideal candidate has in-depth knowledge of databases, data engineering tools, and is proficient in Python and Docker. Join us to pioneer medical AI solutions that maximize human health.

Leistungen

Flexible remote team culture

Company retreats

Fair compensation

Qualifikationen

• Deep knowledge in databases (SQL/PostgreSQL).
• Proficiency in Python and Docker.
• Experience with DICOM and/or in the Radiology field is a plus.

Aufgaben

• Manage and provide data repositories for AI and medical teams.
• Build reliable data pipelines in coordination with product managers.
• Supervise quality control of data-sets.

Kenntnisse

Database Management (SQL/PostgreSQL)

Data Engineering (pandas, airflow, airbyte, dbt)

Python Programming

Attention to Detail

Communication Skills (English)

Teamwork

Ausbildung

Degree in Medical/Computer Science or Engineering

Tools

Docker

NoSQL Databases

Jobbeschreibung

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.

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 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.

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.