DataEngineer

About the Role The Kuala Lumpur office is the technology powerhouse of MoneyLion, where we measure anything and everything and rely on data to guide our decisions: both long-term strategies and day-to-day operations. Combine that backdrop with an incredible volume and sophistication of data and mix in MoneyLion’s voracious appetite for adopting paradigm-shifting technologies and you have the mission and mandate of the Data Engineering team. Now turbo-charged with a planetscale mandate as part of Gen Digital, we aim to leverage tried-and-true methodologies with game-changing technology to create a AI-native, scalable, extensible, and cost-effective data infrastructure across the Gen Digital enterprise and beyond. As a Data Engineer, you are a technical Individual Contributor (IC) figure within the team that will design, implement and optimize a Snowflake-centric architecture that will leverage many components of the modern data stack. You will be a trusted subject matter expert on dimensional data modeling, performant SQL query writing, infrastructure optimization, process automation and governance. You will be given the opportunity to leverage the latest and greatest AI tools and features, including Claude Code (Enterprise) and Snowflake’s Cortex Code, among many others. You will be responsible for designing and implementing an analytical environment using in-house and third-party tools, using Python and/or Java to automate data activities and enable efficient processing of data that is growing in both volume and complexity. You will design and implement complex data pipelines and data models for analytical consumption. You will write scalable and performant SQL queries running over billions of rows of data and design workflows aimed to ruthlessly streamline the governance of our complex layers of storage. You should have deep experience in designing and managing large datasets and pipelines to enable business use-cases. You should be an authority at designing, impl