Data Engineer, Data Practice

<p><span data-contrast="none">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 &amp; SS), GovTech develops the Singapore Government’s capabilities in Data Science &amp; Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.</span>&nbsp;<br>&nbsp;<br><span data-contrast="none">At&nbsp;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&nbsp;GovTechies&nbsp;embody our Agile,&nbsp;Bold&nbsp;and Collaborative values to deliver impactful solutions.</span>&nbsp;<br>&nbsp;<br><span data-contrast="none">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.</span>&nbsp;<br>&nbsp;<br><span data-contrast="none">Join us to advance our mission and shape your future with us today!</span>&nbsp;<br>&nbsp;<br><span data-contrast="none">Learn more about&nbsp;GovTech&nbsp;at tech.gov.sg</span> </p> <p><span data-ccp-props="{}"><strong>G</strong></span><span data-ccp-props="{}"><strong>ovTech Data Practice</strong></span></p> <p><span data-ccp-props="{}"><br>The Data Practice drives innovation and sets best practices for the effective and responsible use of data across the Whole-of-Government (WOG). We work at the intersection of data engineering, AI, privacy, and governance - developing standards, platforms, and tools that enable agencies to build high-quality data products and unlock the value of data for public good.&nbsp;</span></p> <p><span data-ccp-props="{}">Today, most organisations still struggle with data that is fragmented, inconsistent, and hard to use, alongside AI that is powerful but brittle without strong data foundations, and privacy policies that are difficult to operationalise. We are changing that at a national scale.</span></p> <p><span data-ccp-props="{}">We are reimagining data engineering itself through AI for Data Engineering (AIDE), which introduces self-improving data pipelines that detect, fix, and optimise themselves, AI-assisted data modelling and quality management at scale, and semantic, context-aware dat