Data Engineer

• 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.

Good to know

• We especially welcome applicants from the LGBTQI+ community, people with a migration background, people of color, and individuals with neurodiversity, disabilities, or chronic illnesses to the team.
• If you need support or special assistance during the application or interview process due to a disability, please feel free to let us know and we are happy to accommodate you as much as possible.
• Please enclose your complete documents (CV, Github Account, Work sample) with your application.
• For this position it is important that you are able to regularly be present in our Potsdam and/or Berlin office.

Hi there!Are you passionate about science and research, but eager to see your work applied in real-world settings?Do you enjoy transforming data into meaningful insights and actionable knowledge?Are you excited to continuously learn, bring in your own ideas, and collaborate within an international team of dedicated professionals?Then join us and help shape digital research solutions that make a real difference in healthcare and science empowering researchers in their everyday work.To support our Analytics Projects Europe team, we are looking for a committed Data Engineer (f/m/x). This is a full-time position based in Berlin/Potsdam.Your future roleDesign, build, and maintain data pipelines to integrate digital health records from diverse sources into a standardized data model.Continuously expand your knowledge of the Observational Medical Outcomes Partnership (OMOP) Common Data Model, a globally adopted standard for observational health data.Analyze and interpret electronic health data (e.g., electronic health records, medical imaging, wearables, clinical trials).Understand and 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.Work closely with our research partners at the Hasso Plattner Institute in Potsdam, the Icahn School of Medicine at Mount Sinai in New York, and our development team in Singapore.What you need to succeed3+ 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.Excellent analytical and problem-solving skills.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; experience with in-memory DBMS (e.g., SAP HANA) is a plus.Solid hands-on experience with ETL frameworks (e.g., Prefect, Airflow).Ideally, some experience in the design of clinical trials or network studies.Experience with TypeScript is a plus.Knowledge of deployment practices (CI/CD, Kubernetes) on cloud computing infrastructures (e.g., Azure) is a plus.Experience with wearable and time-series data standards is a plus.Strong communication skills in English - verbal, written, and presentation.Curious: You are ambitious and committed, always striving to find the best possible solution to a problem.Team-oriented: You enjoy collaborating with others and are motivated to achieve goals together as a team rather than working in isolation.Why you will love working with us

• Contribute to meaningful digital health solutions that make health data ready for research.

About usData4Life is a nonprofit digital health organization headquartered in Potsdam supported by the Hasso Plattner Foundation, with additional locations in Berlin and Singapore. We make health data from diverse sources accessible, standardized, and secure - enabling responsible research to improve public health and personalized medicine. Our digital solutions support international standards such as FHIR and OMOP, and enable scalable digital research infrastructures with a strong focus on data sovereignty and transparency. We work with university hospitals and global research institutions to unlock the full potential of health data. In collaboration with Charité and Mount Sinai Health System, we are supporting cross-border use cases based on millions of patient records. As a nonprofit, we prioritize social impact, data ethics, and open collaboration.We care about Diversity: Many different lives, careers, and development paths lead to Data4Life. We welcome