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Software/Data Engineer with medical/epidemiological experience
Skills
Computer ScienceData PrivacyEmergency ServicesHarmonisationHealth InformaticsHumanitarianInformation Systems
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong expertise in Python and SQL
- Experience with ETL/ELT pipelines event-driven architecture and workflow orchestration
- Strong expertise in health data exchange standards such as FHIR and clinical terminologies such as LOINC
- Hands-on experience with health management systems such as DHIS2 SORMAS and OpenELIS
- Experience with canonical data models interoperability middleware metadata and semantic harmonisation
- Experience with AI/LLM-assisted data cleaning entity resolution and mapping
- Experience with data protection engineering including GDPR pseudonymisation RBAC and audit logging
- Bachelor's degree in Computer Science or related technical field
- Relevant certifications such as HL7 FHIR Proficiency
- At least 8 years of relevant experience across software architecture and data engineering
- At least 4 years specifically in public health information systems
- Strong track record of collaborating with epidemiologists surveillance officers and emergency response teams
Nice to have
- Health informatics
- Humanitarian
- Data privacy
- Information systems
- Harmonisation
- Surveillance
- Emergency services
Day to day
- Design and build robust software and data engineering solutions for a humanitarian health project
- Develop ETL and ELT pipelines event-driven services and workflow orchestration to move and transform health data reliably
- Work with epidemiologists and public health teams to support interoperability data harmonisation and secure health information exchange