As a Data Engineer, you will design, build and maintain data pipelines, integration layers and platform components needed to support programme system implementation roadmap. You will ensure data moves securely, reliably and to the right quality across systems to enable analytics, reporting and operational use.
Key Responsibilities
Pipeline Development & Integration
- Build and maintain scalable ETL/ELT pipelines aligned to architectural patterns and data models.
- Apply Agile engineering practices including testing, version control and documentation.
Data Platform Engineering
- Develop and maintain components of the data platform, including data warehouses, lakes and operational stores.
- Monitor and optimise pipeline and platform performance.
Data Quality & Governance
- Implement data quality rules, validation checks and metadata capture within engineering solutions.
- Ensure compliance with data governance, security and retention policies.
Collaboration & Delivery
- Work closely with data architect, data modeller and analysts to translate designs into robust technical solutions.
- Engage with suppliers to define interfaces and resolve integration issues.
Standards & Documentation
- Produce clear technical documentation and promote engineering standards across the team.