Data Engineer; f​/m​/x

Data Engineer (Data Pipelines):
Design, build, and maintain data pipelines to integrate digital health records from diverse sources into a standardized data model with an accent on the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Focus on enhancing existing data models, improving data integration pipelines, and building cohorts based on standardized data models.

Location:

Hybrid (Potsdam, Berlin). For this position it is important that you are able to regularly be present in our Potsdam and/or Berlin office. Enjoy flexible working hours and the possibility for remote work (up to 2 months/year abroad).

Data4

Life is a nonprofit digital health organization headquartered in Potsdam supported by the Hasso Plattner Foundation, with additional locations in Berlin and Singapore.

• Design, build, and maintain data pipelines to integrate digital health records from diverse sources into a standardized data model.
• Analyze and interpret electronic health data.
• Enhance existing data models to incorporate new data modalities.
• Collaborate with technical and clinical teams to improve the quality of existing data integration pipelines.
• Support clinical teams in designing and building cohorts based on standardized data models.
• Contribute to the ongoing standardization of data models.

• 3+ years of professional experience in designing, building, and maintaining data pipelines.
• University degree in computer science or a related field.
• Strong background in data handling, integration, and analysis.
• Experience with data management and interoperability standards (e.g., FHIR, OMOP, SNOMED, ICD-10).
• Strong programming skills in Python.
• In-depth database expertise (SQL), with a focus on PostgreSQL.
• Solid hands-on experience with ETL frameworks (e.g., Prefect, Airflow).
• Strong communication skills in English — verbal, written, and presentation.

• Ideally, some experience in the design of clinical trials or network studies.
• Experience with Type Script.
• Knowledge of deployment practices (CI/CD, Kubernetes) on cloud computing infrastructures (e.g., Azure).
• Experience with wearable and time-series data standards.

• Contribute to meaningful digital health solutions that make health data ready for research.
• Work with a diverse, international team across Berlin, Potsdam, and Singapore.
• Enjoy flexible working hours, 30 days paid vacation, and the possibility for hybrid or remote work (up to 2 months/year abroad).
• Benefit from private health insurance, sustainable mobility support (Deutschlandticket), and a career development budget.
• Learn from experienced colleagues through knowledge-sharing events and participate in employee-driven initiatives like climate action and DEI programs.