Data Engineer - AMK

COMBUILDER PTE LTD; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

COMBUILDER PTE LTD is seeking a Data Engineer to design scalable data pipelines and build enterprise data platforms, including warehouses, lakes, and lakehouses. The role covers cloud, hybrid, and on‑prem architectures aligned with enterprise standards.

The candidate will lead ETL/ELT using Talend, integrate diverse data sources, and ensure data quality, governance, and security across MINDEF projects. 3+ years of experience and CAT 1/G50 clearance is required, with strong SQL/Python skills.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum 3 years of experience in enterprise data engineering roles.
• Strong SQL and Python skills.
• Experience with ETL/ELT tools, with Talend highly preferred.
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems.
• Qlik Sense Enterprise integration experience is highly preferred.
• Prior CAT 1 / G50 security clearance is required.
• Previous experience delivering MINDEF projects is required.

Responsibilities

• Design and develop scalable and reliable data pipelines.
• Build enterprise data platforms, including data warehouses, data lakes, and lakehouses.
• Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.
• Lead ETL/ELT pipeline development, with Talend as a highly preferred platform.
• Integrate structured, semi-structured, and unstructured data sources.
• Implement and maintain data quality, validation, and error-handling frameworks.
• Design and manage data storage solutions with a strong focus on object storage, data quality, and data governance.
• Implement and maintain data lifecycle management and cost-optimisation strategies.
• Ensure data lineage, traceability, and auditability.
• Engineer analytics-ready data models for reporting and self-service analytics.
• Enable BI dashboards, reports, and analytics through performant and governed data pipelines.
• Ensure compliance with government security and privacy requirements.
• Implement and maintain encryption, access controls, secure data handling practices, and system security policies.

Skills

SQL

Python

Data engineering

Data governance

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Talend

Qlik Sense Enterprise

Data warehouses

Data lakehouses

Object storage

Job description

Job Responsibilities

Data Engineering & Platform Development

• Design and develop scalable and reliable data pipelines.
• Build enterprise data platforms, including data warehouses, data lakes, and lakehouses.
• Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.

ETL/ELT & Data Integration

• Lead ETL/ELT pipeline development, with Talend as a highly preferred platform.
• Integrate structured, semi-structured, and unstructured data sources.
• Implement and maintain data quality, validation, and error-handling frameworks.

Data Management & Governance

• Design and manage data storage solutions with a strong focus on object storage, data quality, and data governance.
• Implement and maintain data lifecycle management and cost-optimisation strategies.
• Ensure data lineage, traceability, and auditability.

Analytics & BI Enablement

• Engineer analytics-ready data models for reporting and self-service analytics.
• Enable BI dashboards, reports, and analytics through performant and governed data pipelines.

Security & Compliance

• Ensure compliance with government security and privacy requirements.
• Implement and maintain encryption, access controls, secure data handling practices, and system security policies.

Job Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum 3 years of experience in enterprise data engineering roles.
• Strong hands‑on data engineering experience.
• Strong SQL and Python skills.
• Experience with ETL/ELT tools, with Talend highly preferred.
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems.
• Qlik Sense Enterprise integration experience is highly preferred.
• Prior CAT 1 / G50 security clearance is required.
• Previous experience delivering MINDEF projects is required.