Assistant Vice President, Technology (Data Engineer)

Temasek Holdings; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A global investment company in Singapore is seeking an experienced Assistant Vice President, Technology (Data Engineer) to drive the development of data solutions that enhance investment insights. You will work with investment professionals, develop solutions for efficient data handling, and evolve data strategies. The ideal candidate has over 7 years of data engineering experience, is skilled in Python and SQL, and ideally holds a degree in Computer Science. Join us to make a significant impact in a thriving environment.

Qualifications

• Minimum 7+ years experience in data engineering.
• Proficient in Data Warehousing and Machine Learning.
• Programming proficiency in Python and SQL.

Responsibilities

• Explore external data sources and ensure accessibility.
• Develop solutions for investment professionals and data science teams.
• Drive the evolution of the data strategy.

Skills

Data Engineering

Software Development

Data Warehousing

Machine Learning

CI/CD Workflows

Docker

Python

SQL

Cloud Platforms (AWS, Azure)

Kubernetes

Education

Bachelor’s or Master’s in Computer Science

Tools

Jenkins

Snowflake

Streamlit

Job description

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Assistant Vice President, Technology (Data Engineer)

Location: Singapore, SG, 238891

Group: Corporate Group

Department: Technology

Section: Applications, Data & Digital

Job Type: Permanent

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.

• Explore new external data sources to understand availability and quality and make them easily accessible to different stakeholders for different use cases
• Develop solutions that enable investment professionals and data science teams to efficiently extract insights from data. This includes owning the ingestion and transformation
• Work with multiple stakeholders [internal end user, external technical consultants] to drive the development of firm’s enterprise data catalogue system
• Partner 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 markets
• Build tools and automation capabilities for data pipelines that improve the efficiency, quality and resiliency of our data platform
• Drive the evolution of our data strategy by challenging the status quo and identifying opportunities to enhance our platform

Requirements

• Minimum 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 hosting
• Experience 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

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