Data Engineer

Your Contribution:

• As a Data Engineer, you will develop ETL processes in an agile team to cleanse, enrich, and normalize healthcare data in our data lake based on Python and Elasticsearch.
• You will design and implement methods such as differential privacy or personally identifiable information substitution to meet our high data protection requirements.
• You have a high standard for software quality and maintain it through the design and implementation of automated unit and integration tests, as well as through code reviews.
• You will actively contribute to the further development and optimization of our growing global data landscape in the public cloud, bringing a high degree of self-responsibility.

What you bring:

• A completed degree in (medical) informatics, mathematics, natural sciences, or a comparable qualification.
• An agile mindset and a passion for software development of data processes and data landscapes in the cloud.
• Advanced experience with Python-based ETL processes using Spark and Airflow, as well as NoSQL databases like Elasticsearch and alternatives like Parquet.
• [Senior Engineer:] At least 4 years of professional experience in data engineering using cloud services from GCP and/or Azure.
• Advanced English language skills, both written and spoken (minimum C1).

What you can expect from us

• Purpose and Meaning: Become part of an important mission. At the intersection of healthcare and digitalization, we are shaping the future of e-Health.
• Attractive Locations with Real Communities: People and cohesion are at the center of our focus. Therefore, we offer you attractive locations.
• Security: We provide you with a secure workplace in a stable market environment.
• Flat Hierarchies: Best of both worlds – we are a corporation with stable structures and absolute expertise, but at the same time, we offer you an agile environment with flat hierarchies.
• Creative Freedom: You can make a significant impact in exciting projects. We offer you diverse development opportunities and long-term perspectives.
• Hybrid working model: 2 days per week working from home

We create the future of e-Health.
Become part of a meaningful mission.