Intern - ONT, Data & AI Engineering (Fall 2026, Jul to Dec)

SGX Internship Program

We are Asia’s leading and trusted securities and derivatives market infrastructure, operating equity, fixed income, currency and commodity markets to the highest regulatory standards. We also operate a multi-asset sustainability platform, SGX FIRST (Future in Reshaping Sustainability Together). We are committed to facilitating economic growth in a sustainable manner as a key player in the ecosystem — a business, regulator and listed company. With climate action as a priority, we aim to be a leading sustainable and transition financing and trading hub offering trusted, end-to-end products and solutions. As Asia’s most international, multi-asset exchange, we provide listing, trading, clearing, settlement, depository and data services, with about 40% of listed companies and over 80% of listed bonds originating outside of Singapore. We are the world’s most liquid international market for the benchmark equity indices of China, India, Japan and ASEAN. In foreign exchange, we are Asia's leading marketplace and most comprehensive service provider for global FX over-the-counter and futures participants. Headquartered in AAA-rated Singapore, we are globally recognized for our risk management and clearing capabilities.

Be a part of this fast-paced world where your contributions count. SGX offers you the unique experience of gaining insights into the Exchange business and the finance value chain. You will be immersed in the respective specialist functions — at SGX, we believe that our interns are involved in real-time work from Day 1.

Note: Leave of Absence (LOA) may be required to take on the internship.

Role Focus

Data & AI Engineering Intern

As one of the key innovation drivers at Singapore Exchange, the Data & AI Engineering unit plays a pivotal role in shaping the future of data-driven solutions. We are at the forefront of emerging technologies such as Enterprise Data Platform, Artificial Intelligence (AI), Generative AI (GenAI), and Cloud Computing. Our responsibilities span designing robust data engineering and machine learning architectures, ensuring data integrity, developing data dictionaries and governance models, and building advanced analytics and visualization tools to transform the organization and foster a strong data-driven culture.

Learning Outcomes

The Data & AI Engineering unit seeks a Data Engineering Intern with a passion for working with data, building ETL pipelines, curating data models, and ensuring data quality. This internship offers exposure to production-grade setups and scalable data structures and pipelines. The intern will gain hands-on experience with our product suite, learn about data domains (e.g., trading and/or post-trade), build data pipelines/ETL, and develop end-to-end production pipelines that deliver tangible business impact across multiple real-world use cases.

Job Description

• Build scalable and reliable ETL pipelines and processes to ingest data from multiple sources
• Create curated data layers for users to self-serve data
• Work with business users to understand data needs
• Build, test and deliver datasets to production
• Build internal tools and dashboards

Technical Responsibilities

• Data Extraction, Transformation and Quality
  • Use kdb+ and q language to query large datasets from the data warehouse
  • Perform data cleaning and transformation using q (KDB+), SQL/SQLX or Python (pandas, NumPy)
  • Implement reconciliation and data quality checks
• Data Pipelines
  • Develop and implement data pipelines and curated layers
  • Optimize data processing time and cost
• Tooling & Automation
  • Automate workflows and implement CI/CD
  • Automate testing
• Cloud Development (subject to project)
  • Develop and deploy workflows on Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run/Cloud Run Functions, Composer (Airflow) and Dataform
• Business Understanding & Presentation
  • Translate technical findings into actionable data insights for business teams
  • Prepare clear and compelling presentations for non-technical stakeholders
  • Document design and solution in Confluence

Knowledge and Skills

Must-Have

• Highly driven, proactive, and a strong team player
• Excellent interpersonal skills with strong written and verbal English communication
• Ability to multitask effectively and manage large datasets
• Good understanding of database concepts
• Proficiency in SQL

Nice-to-Have

• Experience with q/KDB+
• Familiarity with Google Cloud Platform (GCP)
• Good understanding of financial markets
• Familiar with Git, Jira and Confluence