Assistant Vice President, Technology (Data Engineer)

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$434 billion (US$324 billion, €299 billion, £250 billion, and RMB2.35 trillion) as at 31 March 2025. Marking our unlisted assets to market would provide S$35 billion of value uplift and bring our mark to market net portfolio value to S$469 billion.Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations.Operating on commercial principles, we seek to deliver sustainable returns over the long term.We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia. For more information on Temasek, please visit www.temasek.com.sg.For Temasek Review 2025, please visit www.temasekreview.com.sg.For Sustainability Report 2025, please visit https://www.temasek.com.sg/content/dam/temasek-corporate/sustainability/2025/Temasek-Sustainability-Report-2025.pdf.ResponsibilitiesExplore new external data sources to understand availability and quality and make them easily accessible to different stakeholders for different use casesDevelop solutions that enable investment professionals and data science teams to efficiently extract insights from data. This includes owning the ingestion and transformationWork with multiple stakeholders [internal end user, external technical consultants] to drive the development of firm’s enterprise data catalogue systemPartner with the investment professionals, quantitative researchers, and data scientists to design, develop and deploy solutions that answer fundamental questions about companies, sectors, countries and financial marketsBuild tools and automation capabilities for data pipelines that improve the efficiency, quality and resiliency of our data platformDrive the evolution of our data strategy by challenging the status quo and identifying opportunities to enhance our platformRequirementsMinimum 7+ years experience in data engineering with a passion for data and software development Proficient in Data Warehousing, Machine Learning, and CI/CD workflows like Jenkins Skilled in managing multiple Docker deployments and deploying microservices for backend and ML model hostingExperience with cloud platforms: AWS, Azure Cloud, Kubernetes, and preferably Snowflake or similar data warehouse tech Programming proficiency in Python and SQL with knowledge of data caching and cloud data reuse strategies Background in quantitative hedge funds or technology companies preferred; strong communication skills required Bachelor’s or Master’s in Computer Science or equivalent experience Bonus skills include experience with Generative AI and rapid prototyping frameworks like Streamlit