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Data Engineer(m/w/x)
Designing and maintaining health data pipelines for standardized health data integration in a nonprofit digital health organization. 3+ years in data pipeline design and maintenance, with health data standards experience required. 30 days vacation, private health insurance, and remote work with abroad option.
Requirements
- 3+ years professional experience in data pipeline design, build, and maintenance
- University degree in computer science or related field
- Strong background in data handling, integration, and analysis
- Excellent analytical and problem-solving skills
- Experience with data management and interoperability standards (FHIR, OMOP, SNOMED, ICD-10)
- Strong programming skills in Python
- In-depth database expertise (SQL), focus on PostgreSQL
- Plus: Experience with in-memory DBMS (SAP HANA)
- Solid hands-on experience with ETL frameworks (Prefect, Airflow)
- Ideally: Experience in clinical trials or network studies design
- Plus: Experience with TypeScript
- Plus: Knowledge of deployment practices (CI/CD, Kubernetes) on cloud infrastructures (Azure)
- Plus: Experience with wearable and time-series data standards
- Strong English communication skills (verbal, written, presentation)
- Ambition and commitment to problem-solving
- Team-orientation and collaborative goal achievement
- Regular presence in Potsdam and/or Berlin office
Tasks
- Design, build, and maintain data pipelines for standardized health data integration.
- Continuously expand knowledge of the OMOP Data Model.
- Analyze and interpret electronic health data.
- Understand and enhance data models for new modalities.
- Improve data pipeline quality with technical and clinical teams.
- Support clinical teams in building standardized data cohorts.
- Contribute to data model standardization.
- Collaborate with research partners and global development teams.
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- FHIR
- OMOP
- SNOMED
- ICD-10
- Python
- SQL
- PostgreSQL
- SAP HANA
- Prefect
- Airflow
- TypeScript
- CI/CD
- Kubernetes
- Azure
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 days paid vacation
Workation & Sabbatical
- Hybrid or remote work (up to 2 months/year abroad)
Healthcare & Fitness
- Private health insurance
Public Transport Subsidies
- Sustainable mobility support (Deutschlandticket)
Additional Allowances
- Career development budget
Learning & Development
- Knowledge-sharing events
Purpose-Driven Work
- Employee-driven initiatives
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Senior Data Engineer - Integrations(m/w/x)
Full-timeWith HomeofficeSeniorBerlin
Data Engineer(m/w/x)
Designing and maintaining health data pipelines for standardized health data integration in a nonprofit digital health organization. 3+ years in data pipeline design and maintenance, with health data standards experience required. 30 days vacation, private health insurance, and remote work with abroad option.
Requirements
- 3+ years professional experience in data pipeline design, build, and maintenance
- University degree in computer science or related field
- Strong background in data handling, integration, and analysis
- Excellent analytical and problem-solving skills
- Experience with data management and interoperability standards (FHIR, OMOP, SNOMED, ICD-10)
- Strong programming skills in Python
- In-depth database expertise (SQL), focus on PostgreSQL
- Plus: Experience with in-memory DBMS (SAP HANA)
- Solid hands-on experience with ETL frameworks (Prefect, Airflow)
- Ideally: Experience in clinical trials or network studies design
- Plus: Experience with TypeScript
- Plus: Knowledge of deployment practices (CI/CD, Kubernetes) on cloud infrastructures (Azure)
- Plus: Experience with wearable and time-series data standards
- Strong English communication skills (verbal, written, presentation)
- Ambition and commitment to problem-solving
- Team-orientation and collaborative goal achievement
- Regular presence in Potsdam and/or Berlin office
Tasks
- Design, build, and maintain data pipelines for standardized health data integration.
- Continuously expand knowledge of the OMOP Data Model.
- Analyze and interpret electronic health data.
- Understand and enhance data models for new modalities.
- Improve data pipeline quality with technical and clinical teams.
- Support clinical teams in building standardized data cohorts.
- Contribute to data model standardization.
- Collaborate with research partners and global development teams.
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- FHIR
- OMOP
- SNOMED
- ICD-10
- Python
- SQL
- PostgreSQL
- SAP HANA
- Prefect
- Airflow
- TypeScript
- CI/CD
- Kubernetes
- Azure
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 days paid vacation
Workation & Sabbatical
- Hybrid or remote work (up to 2 months/year abroad)
Healthcare & Fitness
- Private health insurance
Public Transport Subsidies
- Sustainable mobility support (Deutschlandticket)
Additional Allowances
- Career development budget
Learning & Development
- Knowledge-sharing events
Purpose-Driven Work
- Employee-driven initiatives
About the Company
Data4Life
Industry
Healthcare
Description
Data4Life ist eine Non-Profit-Organisation, die Gesundheitsforschung digitalisiert und Gesundheitsdaten sicher zur Verfügung stellt.
Not a perfect match?
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