Job Opportunities API

The Ministry of Finance is responsible for the Government Procurement (GP) policies, which govern how government agencies conduct their procurement. With evolving needs of our public officers and changing procurement landscape, MOF is embarking on the Whole of Government Procurement initiative. GeBIZ X is the MOF product that would transform the procurement and business experience for WOG public officers and external suppliers.   [Who we are looking for] We are seeking a dynamic and strategic Data Engineer to design, build, and scale enterprise-grade data platforms and pipelines for the GeBIZ X product. You will play a key role in shaping the product’s data strategy, ensuring high standards in data architecture, performance, scalability, and governance. Beyond core data engineering, you will drive innovation in AI-enabled capabilities, leveraging data as a foundation to unlock insights, improve decision-making, and enhance user outcomes across the public service. This role requires strong technical expertise, analytical thinking, and stakeholder engagement skills to collaborate across product, engineering, policy, and business teams to deliver impactful, data-driven solutions.   Decision-making When making important decisions, we identify overarching goals, weigh up our options, identify impact, and clearly communicate and manage the risks and trade-offs of our decision. Ownership In addition to technical responsibilities, this means having opinions on what is being done and having ideas on what should be done next. Building something that you believe in is the best way to build something good. Continuous Learning Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential.   Our Team Our team is made up of passionate individuals committed to solving challenges and driving meaningful change. We embrace diversity of thought, encourage experimentation, and foster a culture of continuous learning. As part of this team, you will collaborate with Business Owner, Product Director, Product Managers, UX Designers, Engineers and Business Users to execute the data strategy of GeBIZ X and deliver impactful product outcomes.   [What you will be working on] Data Strategy, Engineering & Product Delivery Engage stakeholders to understand business challenges, refine use cases, and identify opportunities to harness data for product and policy decisions. Design, build, and maintain scalable data pipelines, data platforms, and reusable datasets to support analytics and product use cases. Develop data models and architectures to support complex business processes and reporting needs. Implement ETL/ELT processes to ingest, transform, and serve structured and unstructured data. Design and deliver analytics workflows, dashboards, and data products to enable insights and decision-making. Work iteratively with product teams to validate insights, refine analyses, and deliver measurable outcomes. AI, Machine Learning & Advanced Analytics Develop and apply machine learning and Large Language Model (LLM)-based solutions, including prompt engineering and AI-enabled applications where relevant. Operationalise models through MLOps practices, including deployment, monitoring, and lifecycle management. Stay abreast of emerging trends in AI, data architectures, and optimisation techniques, and apply them to enhance product capabilities. Ensure responsible AI practices, including considerations for safety, fairness, and robustness. Data Platforms, Integration & DataOps Design and implement moderately complex data systems and platforms, including supporting infrastructure and integrations. Apply advanced data integration techniques (e.g. streaming, Change Data Capture, message queues) t