Design and implement data integration and interoperability solutions across multiple systems and platforms
Design and maintain scalable data architectures and integration frameworks
Develop and maintain ETL/ELT pipelines for data ingestion, transformation, validation, and harmonisation
Design and implement interoperability middleware and API-based integration services
Develop and maintain data exchange mechanisms between heterogeneous systems
Design and implement canonical data models and metadata harmonisation processes
Support the implementation of surveillance, monitoring, and reporting data solutions
Develop and maintain cloud-based and hybrid data integration platforms
Ensure data quality, consistency, reliability, and performance across data ecosystems
Contribute to technical architecture decisions and interoperability standards implementation
Produce technical documentation, architecture artefacts, and implementation guidelines

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related field
Minimum 8 years of relevant professional experience in Data Engineering, Data Integration, or Information Systems
Minimum 4 years of experience working on complex data integration or interoperability projects
Strong experience designing and implementing enterprise data architectures
Strong experience with Python development
Strong experience with SQL and relational databases
Experience designing and implementing ETL/ELT pipelines
Experience developing and integrating REST APIs and data exchange services
Experience with interoperability frameworks, middleware solutions, and integration architectures
Experience working with heterogeneous data sources and distributed systems
Experience with cloud platforms such as Azure, AWS, or GCP
Experience with data modelling, metadata management, and data governance practices
Understanding of data security, access control, audit logging, and privacy principles
Strong analytical and problem-solving skills
Experience producing technical documentation and solution designs
Excellent written and verbal communication skills in English

Nice to Have

Experience with surveillance, monitoring, or large-scale reporting systems
Experience with health information systems and interoperability initiatives
Experience with HL7 FHIR or other interoperability standards
Experience with DHIS2, SORMAS, Go.Data, OpenMRS, OpenELIS, or similar platforms
Experience with terminology standards such as ICD, LOINC, or SNOMED CT
Experience with AI-assisted data processing and data harmonisation approaches
Advanced degree in Data Engineering, Data Science, Health Informatics, or a related field
Knowledge of French

Work on large-scale data integration and interoperability initiatives
Contribute to modern data architecture and analytics solutions
Collaborate with experienced international teams and stakeholders
Gain exposure to advanced data, cloud, and integration technologies
Be part of impactful projects that support data-driven decision-making and innovation

Senior Data Engineer – Surveillance & Interoperability

Key skills