Data Engineer

FPT Asia Pacific Pte Ltd; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A technology solutions provider in Singapore is seeking an experienced Data Engineer to drive technical leadership and build scalable data infrastructure. This role involves designing automated data pipelines, ensuring data governance compliance, and enhancing service delivery. Candidates should have a minimum of 5 years in data modelling and be proficient in Python. A relevant degree in Computer Science, Engineering, or Information Systems is required. The position offers opportunities to impact health programs and insights significantly.

Qualifications

• Minimally 5 years of experience in data modelling and engineering.
• Experience in systems implementation, service operations, or equivalent roles at Senior Consultant level.
• Strong process-oriented qualities and the ability to quickly grasp business requirements.

Responsibilities

• Design and implement automated data pipelines for processing big data.
• Collaborate with Data Quality Assurance for automated testing and validation.
• Achieve stakeholder satisfaction in data service delivery and conduct service reviews.

Skills

Data integration

Data analytics

Proficient in Python

Stakeholder engagement

Problem-solving

Education

Bachelor or Master's degree in Computer Science, Engineering or Information Systems

Job description

Role Overview

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.

What Youll Do

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.