We have partnered with one of Germany's most dynamic medical AI Companies which are searching for high-skill-set Data Engineers to head up their growing squad. The successful applicant will be building the pipelines and data infrastructure that feeds directly into the AI models that are core to the company's product.

Tech Stack
Python
Pandas/AirFlow/AirByte
PostgreSQL/SQL
GCP
Docker/Kubernetes

The Role:
Working in a cross-functional team of 5 engineers.
Building robust, scalable data pipelines for AI services based on GCP cloud infrastructures
Building data repositories for the other feature squads.

Building quality feedback loops and ensuring data integrity.

Must Haves:
Expertise in Python engineering - 3-5+ years.
Expertise in cloud-native software engineering - ideally within the GCP stack.
Familiarity with Docker and Kubernetes within a production environment

Experience with ETL pipelining from multiple different information sources.

2+ years experience with PostgreSQL

Bonus Points:
Previous experience with building AI services.
Previous experience with Medical Imaging.

Process
First Stage - Intro with HR
Second Stage - Technical Interview with CTO
Third Stage - Pair Programming with Technical Lead
Final Stage - Interview with Founder

Work Arrangements -
Remote - European continent - ideally within Germany.
We cannot facilitate relocation for this role.

We cannot facilitate sponsorship outside of Germany.