Senior / Data Engineer (AGC)
GovTech
| Company | GovTech |
| Category | Uncategorised |
| Location | Singapore |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 28 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions. GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg
[Brief Overview]
The Attorney-General's Chambers (AGC) is Singapore's principal government legal service, responsible for legislation drafting, legal advisory, prosecution, and international law. AGC is undergoing digital transformation which includes the modernisation of its legislative drafting systems, the adoption of AI-powered knowledge management tools, and the development of a centralised data infrastructure to support evidence-based legal work products.
Design and maintain scalable data pipelines, system integrations, and AWS cloud infrastructure to support AGC’s analytics and AI ambitions
Consolidate siloed datasets across teams and systems into a centralised data warehouse
Ensure AGC’s cloud environments are scalable, secure, and well-governed through Infrastructure-as-Code (IaC) and sound data architecture
Prepare and structure data to support AI-powered tools including LLM based application across AGC product suite
You will be comfortable taking ownership across both data engineering and cloud infrastructure, working closely with data analysts to translate business logic into reliable pipelines, infrastructure teams to maintain the centralised data warehouse, cross-functional product teams building AI-powered tools and subject matter experts (SMEs) to make sense of AGC’s complex domain requirements.
Requires 5 - 8 years of data or cloud engineering experience with strong proficiency in Python, SQL, AWS, and Terraform and a proven ability to design and maintain robust data infrastructure.
[What you will be working on]
1. Build and maintain foundational data infrastructure and analytics capabilities
Design and maintain data pipelines, integration processes, and data architecture to support analytics capabilities.
Monitor data quality, identify gaps in data, and implement solutions to ensure reliable data foundations.
Develop and maintain scalable data models and structures to support both operational and strategic analytics needs.
Ensure data pipelines deliver reliable and timely data to support operational reporting and business performance tracking.
Establish data collection standards, technical specifications, and system integrations across AGC.
2. Maintain scalable, secure, and well-governed AWS cloud infrastructure
Provision and maintain AWS services to support operational and business needs.
Collaborate with internal and external teams to implement system-to-system integrations, including ingestion of data from upstream systems and delivery of data to downstream consumers.
Write and maintain Infrastructure-as-Code (IaC) using Terraform to enable consiste
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