Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- 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
- Be part of a long-term transformation programme
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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