About the role

As a Data Engineer, you will design, build, and operate scalable, secure, and high-performance enterprise data platforms and ETL pipelines that enable analytics, reporting, and data-driven decision making. You will play a key technical role in delivering end-to-end data pipelines, analytics platforms, and integration solutions across hybrid and cloud environments, including Government Commercial Cloud (GCC) and MINDEF Commercial Cloud (MCC). You will work closely with data and solution architects, business stakeholders, and infrastructure teams to translate requirements into robust, production-grade data solutions.

Key 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 core and 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 emphasis on object storage, data quality, and data governance

Engineer analytics-ready data models for reporting and self-service analytics

Ensure compliance with government security and privacy requirements

Implement and maintain encryption, access controls, and secure data handling practices

About you

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field

Strong hands-on data engineering experience

Expertise in ETL/ELT with Talend (highly preferred)

Experience with data warehouses, data lakehouses, data lakes, and object storage systems

Qlik Sense Enterprise integration experience (highly preferred)

Strong SQL and Python skills

Minimum 3+ years of experience in enterprise data engineering roles

Prior CAT 1 / G50 security clearance (mandatory)

Previous experience delivering MINDEF projects (mandatory)

Maestro HR

damien lee tian hong

R1106726

16C8462