Lead Data Engineer: Production Pipelines & Modernisation

FPT Asia Pacific; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

FPT Asia Pacific is seeking a Data Engineer to design, build, and maintain data infrastructure supporting statistical production processes. You will lead data pipelines, ensure production quality, and guide engineering standards across the team.

You will collaborate with statisticians, analysts, and business stakeholders to translate needs into robust technical solutions, modernising legacy processes while preserving business logic.

Qualifications

• 7+ years of professional data engineering experience.
• Experience in production-grade data solutions at scale.
• Strong Python and SQL for complex data transformations.
• Familiarity with ETL, data integration and pipelines.

Responsibilities

• Leads architecture, design and implementation of ETL processes and data pipelines.
• Builds large-scale batch and real-time data pipelines with monitoring.
• Develops production-quality code and modernises legacy processes.
• Leads data model design and schema optimization for large datasets.
• Promotes reusable engineering components and coding standards.
• Implements CI/CD for data workflows and environment separation.
• Configures complex pipeline workflows and schedules using enterprise tools.
• Establishes GitLab version control, code reviews and architecture docs.
• Troubleshoots incidents and optimises system performance.
• Mentors data engineers on coding practices and design decisions.
• Translates business needs into robust technical solutions.

Skills

Python

SQL

Batch processing

Data pipelines

ETL

Linux/Unix

Shell scripting

Git

CI/CD

Cloud platforms

Tools

Python

SQL

Linux/Unix

Shell scripting

Git

CI/CD pipelines

Cloud platforms

Job description

FPT Asia Pacific is seeking a Data Engineer to design, build, and maintain data infrastructure supporting statistical production processes. You will lead data pipelines, ensure production quality, and guide engineering standards across the team.

You will collaborate with statisticians, analysts, and business stakeholders to translate needs into robust technical solutions, modernising legacy processes while preserving business logic.