INTERNSHIP DETAILS

[Keppel Internship Programme 2026] Intern, Data Engineering/ AI Engineering Office (June - Aug/Dec 2026)

CompanyKeppel Ltd.
LocationSingapore
Work ModeOn Site
PostedDecember 17, 2025
Internship Information
Core Responsibilities
The intern will be responsible for building data pipelines, workflow orchestration, data modeling, and AI engineering. They will also have opportunities to learn about modern data and AI technologies and understand Keppel's business model.
Internship Type
full time
Company Size
1563
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Keppel is a global asset manager and operator with strong expertise in sustainability-related solutions spanning the areas of infrastructure, real estate and connectivity. Headquartered in Singapore, Keppel operates in more than 20 countries worldwide, providing critical infrastructure and services for renewables, clean energy, decarbonisation, sustainable urban renewal and digital connectivity. Keppel creates value for investors and stakeholders through its quality investment platforms and diverse asset portfolios, including private funds and listed real estate and business trusts, and has a total portfolio of S$91 billion of funds under management.
About the Role

JOB DESCRIPTION

Keppel is a leading global asset manager and operator with strong capabilities in energy & environment, urban development and connectivity, creating solutions for a sustainable future. The intern will be responsible in the following: • Building Data pipelines • Workflow Orchestration • Data Modelling • AI Engineering • Cloud/Devops Learning Outcomes: • Learning opportunities on cutting edge modern data and AI technologies and understanding of Keppel's Business model

JOB REQUIREMENTS

- Python & SQL is must - Basic knowledge on AI and building models - Airflow/DBT/Snowflake preferable - Basic knowledge is Data Warehouse design prinicples

BUSINESS SEGMENT

Corporate

PLATFORM

Operating Division
Key Skills
PythonSQLAI EngineeringData ModellingData PipelinesWorkflow OrchestrationCloudDevOpsAirflowDBTSnowflakeData Warehouse Design
Categories
TechnologyData & AnalyticsEngineeringEnergyEnvironmental & Sustainability