At UST, we partner with leading global enterprises to transform their businesses through technology, innovation, and purpose-driven solutions. With deep expertise across digital, data, and AI, we help our customers reimagine experiences, modernize platforms, and unlock new growth opportunities. As part of our growing AI & Data practice in Southeast Asia, we are looking for
passionate leaders who can shape next-generation AI solutions and drive meaningful business outcomes.
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In the Cluster Delivery Organization, Business Specialists, Business Experts, Engineer Specialists, Engineers, and Product Owners work together in a team. Agile methods help employees perform their functions by enabling a fast and flexible response to changing conditions and customer needs through an iterative approach and continuous development of new solutions.
This approach aims at better products, higher quality, more efficient processes and faster implementation. This will ensure that valuable functionalities are delivered to the customer and that existing products, processes and services are further developed in a customer-oriented manner.
In order to achieve this, the employees work autonomously, independently and self-organized. For this purpose, team members are given responsibility for all processes and systems that are necessary for the responsible products, processes and services. Open communication between team members ensures regular and timely feedback. This enables the rapid detection and correction of errors, so-called "Fail Fast", enabling rapid response to changing conditions and customer needs through iterative action.
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We are looking for a Senior Data Warehouse Engineer with strong expertise in data modelling to design, build, and scale modern cloud data platforms. This role focuses on delivering well-structured, high-performance data models that enable analytics, business intelligence, and AI use cases.
You will work closely with solution architects, tech leads, and business stakeholders to translate complex data requirements into scalable data warehouse designs. Beyond engineering, you will play a key role in establishing modelling standards, improving data quality, and guiding the team on best practices.