The Government Technology Agency (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. We also develop the Smart Nation infrastructure and applications and facilitate collaboration between citizens and businesses to co-develop technologies.
Join us as we support Singapore’s vision of building a Smart Nation - a nation of possibilities empowered through infocommunication technology and related engineering.
About Us - Experimental Systems And Technology Lab (ESTL)
Experimental Systems and Technology Lab (ESTL) of GovTech is an engineering team within the Ministry of Education (MOE). We are made up of engineers, user experience designers and education officers. Our team aims to design and develop software applications that help MOE to transform their systems and services through digitalisation and innovation. You can find out more about us at https: //www.estl.edu.sg/.
The Edu Hub team in ESTL leads the development of next-generation data infrastructure to support MOE’s digitalisation ambitions. Our mission is to enable pervasive use of data to improve our education system, through the democratisation of datasets across MOE and open access to tools for the deployment of data products and machine learning applications.
What you will be working on:
As a Data Engineer on the Edu Hub team, you will architect and develop infrastructure to support modern data science and machine learning applications. You will develop systems that gather the huge wealth of datasets across MOE and enable their use for statistical analysis and operations. You will build tools for the deployment of machine learning applications in MOE HQ and schools.
Your responsibilities will be to:
- Develop and operationalise systems to securely collect, transform, and disseminate data at scale
- Develop and manage production services that enable data analytics, visualisation and machine learning capabilities for our various data users across MOE
- Work with data analysts and scientists to deploy big data and machine learning applications
- Engage product managers, engineers, data users, and business users to understand product requirements and design solutions
- Proactively identify and initiate worthwhile engineering projects to maximise the impact of MOE’s data and machine learning initiatives
- (For senior hires) Provide technical leadership for the data and machine learning engineering practice at MOE.
- (For senior hires) Establish practices and tools in order maximise team effectiveness and impact
- (For senior hires) Recruit and mentor team members
What we are looking for:
- Bachelor's Degree in Computer Science, Information Technology, Statistics, Engineering, or a related discipline
- Minimum 3 years experience with data systems, pipelines and architecture
- Experience with cloud technologies (AWS, GCP, Azure, or equivalent)
- Experience with developing and deploying real-world data products and machine learning applications is a plus
- Experience with data governance and data protection frameworks is a plus
- Passion towards working for public good with interest in the education domain in particular
What does ESTL offer you:
ESTL sits at the intersection of technology, design, and education. It’s a place where you can solve diverse, complex challenges for the education sector and the organisation, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and optimism. We’re looking for people who share the same excitement and passion – to develop meaningful products, platforms, and solutions for public good. Agile. Bold. Collaborative. We are growing in ways we may never have predicted. Join us and help build the next impactful solution for our schools and citizens.
Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*. We also believe it’s important for you to keep honing your craft in the constantly evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.
- Subject to the nature of your job role that might require you to be onsite during fixed hours
