Key skills
ETLSQLELTData Engineering
About this role
Role Overview
- Provide technical advisory support on data engineering architecture
- Evaluate system architecture and data pipelines during development and implementation
- Support automated data source integrations (e.g. API, HL7, SQL or equivalent)
- Monitor and optimise database, warehouse, and ETL/ELT processes
- Troubleshoot data ingestion and processing issues
- Ensure data quality, integrity, and security controls
- Oversee compliance with data protection and regulatory frameworks
- Collaborate with Data Managers to ensure validated and clean datasets
- Contribute to documentation of pipelines, schemas, and processes
- Participate in technical coordination meetings
Requirements
- Bachelor’s degree in Data Engineering, Information Technology, or related field
- Minimum 2 years of experience as a Data Engineer or IT Developer in infrastructure or system implementation projects
- Strong SQL coding skills (certification or demonstrable authorship preferred)
- Experience with APIs, automated data connections (e.g. HL7 or equivalent), and workflow automation
- Knowledge of database management and data pipeline architecture
- Understanding of data governance and GDPR compliance principles
- Fluent English (minimum B2 level)
- Availability to work 20 hours per week
Tech Stack
- ETL
- SQL
Benefits
- Contribute to the development of a modern public health data infrastructure
- Work on technically complex integration and automation challenges
- Collaborate within a structured governance environment
- Be part of a long-term, impactful initiative
- Maintain flexibility through a part-time engagement