As a Data Engineer in the Chief Data Officers Office, youll play a pivotal role in driving technical leadership, operational excellence and service delivery enhancement. You will be instrumental in building scalable, secure, and high-quality data infrastructure that supports mission to deliver impactful health programmes and insights.
Responsibilities:
Operational Excellence and Process Optimization
- Design and implement automated data pipelines for processing lifestyle big data (physical activity, sleep, food, smoking) with 99.9% reliability.
- Establish real-time monitoring systems and automated health check reports with quarterly updates.
- Implement robust data access controls and monitoring systems to ensure secure data operations.
Technical Leadership and Quality Assurance
- Architect scalable solutions for managing data requests and develop incremental load strategies with data lineage tracking.
- Collaborate with the Data Quality Assurance team to implement automated testing and validation frameworks.
- Ensure accuracy in data delivery and compliance with data governance standards.
- Provide process improvement recommendations to drive reduction in data service incidents.
Service Delivery Enhancement
- Develop standardized frameworks for evaluating and fulfilling data requests, reducing processing time.
- Lead first-level (L1) triage operations and establish clear escalation pathways for complex issues.
- Create and maintain comprehensive documentation and knowledge management systems.
- Achieve stakeholder satisfaction in data service delivery and conduct quarterly service reviews.
Qualifications
- Relevant work experience in data integration, analytics, statistics or public health.
- Minimally 5 years of experience in data modelling and engineering, systems implementation, service operations or equivalent roles at Senior Consultant level.
- Must be proficient in Python and possess adeptness with large-scale datasets.
- Strong stakeholder engagement skills coupled with strong process-oriented qualities and the ability to quickly grasp business requirements.
- Problem-solving mindset and adaptability in a fast-paced environment.
- Bachelor or Masters degree in Computer Science, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognized university.
- Professional certifications in data science and business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines is also acceptable for the position.
