Job Description

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

The Artificial Intelligence Alpha Group (AAG) is a newly formed, AI-native investment team dedicated to using artificial intelligence to drive superior investment performance. We are pioneering a new model of active investing that fuses domain expertise, proprietary data, and cutting-edge generative AI. AAG is a cross-functional team comprising of experienced investors and expert technologists, working together to generated differentiated insights and deliver investment outperformance.

What impact can you make in the role?

We are seeking a Data Engineer to design, implement, and manage the data foundation powering our AI-powered investment systems. You will work closely with Data Scientists and Software Engineers to ensure data pipelines, transformations, and databases are optimized for AI and analytical workflows.

This role combines hands-on data engineering with coordination across dedicated data resources to deliver high-quality, well-governed, and AI-ready datasets. The ideal candidate has strong technical expertise in data architecture and transformation, a practical understanding of AI-driven feature engineering, and experience operationalizing data pipelines for intelligent systems

What will you do in this role?

• Collaborate with team members to design, build, and maintain scalable data pipelines supporting the AI system.
• Develop and optimize data ingestion, cleaning, transformation, and enrichment workflows for both structured and unstructured datasets.
• Implement and manage data storage systems, including relational, vector, and graph databases, ensuring scalability, reliability, and seamless integration with downstream applications.
• Support the development of feature transformation pipelines using both traditional and AI-assisted approaches.
• Implement data-quality checks, lineage tracking, and governance practices to ensure reliable, compliant, and auditable data usage across systems.
• Support the integration of data services into production applications and APIs.
• Develop and maintain documentation, data dictionaries, and automated monitoring for pipeline health and performance.
• Continuously explore modern data frameworks and AI-enabled tools to enhance productivity, scalability, and workflow quality.

What makes you a successful candidate?

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Engineering, or a related field.
• 5+ years of experience in data engineering, platform engineering, or data architecture, ideally in AI- or analytics-intensive environments.
• Proficiency in Python, SQL, and modern databases or frameworks (e.g., PostgreSQL, DuckDB, Spark).
• Experience leveraging AI-assisted tools for data processing across diverse formats and sources (e.g., PDF, DOC/DOCX, Excel, PPT).
• Familiarity with vector or graph databases is preferred.
• Solid understanding of data modeling, feature engineering, and ELT pipeline design principles.
• Experience collaborating with AI/ML teams on data preparation and model-serving workflows.
• Strong communication skills, with the ability to work effectively in a cross-functional engineering team.

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.