Consultant - Data Engineering Specialist supporting public health surveillance data ecosystem. Focused on automated data integrations and ensuring data flows securely across systems.
Responsibilities
Provide technical guidance on automated data ingestion and integration mechanisms
Support implementation and monitoring of API/HL7/SQL-based pipelines
Review and optimize database structures and ETL/ELT processes
Ensure data security, integrity, and compliance (GDPR)
Troubleshoot integration and data processing issues
Oversee backup, retention, and version control processes
Collaborate with data governance and analytics stakeholders
Contribute to UAT and technical documentation
Requirements
Degree in Data Engineering, IT, or related field
Minimum 2 years of experience in data engineering or database-driven projects
Advanced SQL knowledge (certification or documented experience required)
Experience with automated integrations (API, HL7 or similar)
Understanding of database management and workflow automation
Fluent English (minimum B2 level) **
You will be a great candidate for us if you
Have hands-on experience in automated data environments
Are comfortable working with infrastructure and system integrations
Can operate independently within structured delivery frameworks
Focus on reliability, performance, and compliance
Benefits
Contribute to a structured data infrastructure modernization initiative
Work on scalable and secure data ecosystems
Collaborate with multidisciplinary technical teams
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