Staff Software Engineer, Data Programme (DXD), Ministry of Education
GovTech Singapore is hiring a Staff Software Engineer, Data Programme (DXD), Ministry of Education in Singapore, Singapore. Level rates it ; you can apply on GovTech Singapore.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include SageMaker, Databricks and AI agents.
- Level classifies it as a lead role.
- Level lists 274 other open roles at GovTech Singapore.
- The role was posted in the last few days.
AI in this role
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 where we empower our people to master their craft through robust learning and development opportunities all year round.
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.
[About the Team]
Digital Excellence & Products Division (DXD) is a GovTech team within the Ministry of Education (MOE). DXD sits at the intersection of technology, design, and education. It’s a place where you can solve diverse, complex challenges for the education sector alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and optimism. We develop meaningful products, platforms, and solutions for public good.
[What you will be working on]
As a Staff Software Engineer on DXD’s Data Programme, you will architect and develop infrastructure to support modern data science and machine learning applications. You will also actively partner with policy and business divisions to support MOE-wide digital transformation efforts through the use of data and AI methods.
The vision is to enable trusted data for MOE, empowering evidence-based decisions and services. Essential to this is the leveraging of technology in the right manner to serve the broad spectrum of users - HQ officers, data scientists, analysts and even education officers. You will be a key driver of MOE’s data strategy, architecting the data products, platform and all supporting processes such as governance, security, compliance and more. MOE’s data needs continue to evolve and the Data Programme is at the heart of this transformation, ensuring innovation and industry-leading practices pave the way for public good.
This role sits at the intersection of software and data engineering - the right candidate is comfortable building and owning the systems that move and serve data, not just designing the architecture around them.
[What we are looking for]
Requirements:
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline or equivalent experience
- Extensive enterprise experience designing and implementing data architectures, including data modelling, lineage, governance, and data product ownership across the full data lifecycle
- Proficiency with modern data platforms and transformation tooling, with hands-on production experience in one or more of Databricks, Snowflake, AWS SageMaker
- Ability to own the mapping between data sources, architecture, and data products in a complex, policy-driven environment (translating regulatory and stakeholder requirements into concrete technical decisions)
- Experience designing or operating ODS solutions for critical systems with high requirements around data freshness, consistency, and availability
- Demonstrated ability to mentor and raise the technical bar across a team, through design reviews, code reviews, pairing, and structured feedback
- Track record of operating with autonomy in ambiguous environments and driving technical consensus across teams
Good to Have:
- Exposure to semantic or contextual layer tooling (e.g. dbt Semantic Layer, Cube, or equivalent) that enables reliable data consumption by BI and AI systems
- Familiarity with agentic workflows and the data infrastructure requirements they introduce - retrieval, grounding, orchestration, and observability
- Background working across both analytical and operational data systems, with an appreciation for the different engineering disciplines each requires
- Experience in a government, public sector, or similarly regulated environment where data policy and governance carry significant weight
What we offer you:
GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.
Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.
We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.
Learn more about life inside GovTech at go.gov.sg/GovTechCareers.
Stay connected with us on social media at go.gov.sg/ConnectWithGovTech
How we rate this
Staff Software Engineer, Data Programme (DXD), Ministry of Education at GovTech Singapore rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
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Skills and AI tools this role asks for
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Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used SageMaker in your day-to-day work.
- What are the limits of Databricks that you've run into, and how did you work around them?
Adapt your resume
- List these exact terms on your resume: AI agents, SageMaker, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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