Big Data Engineer Project Intern (Global Monetization Product and Technology) - 2026 Start (BS/MS)

Big Data Engineer Project Intern (Global Monetization Product and Technology) - 2026 Start (BS/MS) at TikTok in Singapore.

Responsibilities

Team Introduction

Monetization data SG team aims to empower TikTok monetization business through acquiring, building and managing all kinds of ad data as our data foundation, and further provide scalable solutions including dashboards, pipelines, data products and data services. We are partnership with business through a better understanding of business strategy and aligning OKRs with business to drive business growth as a stakeholder. At the same time, our team continues to explore the development of data engines, data warehouse methodology, BI tools, ML data technology to efficiently improve the efficiency of data development, and deeply mine data value to improve business growth.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

• Applications will be reviewed on a rolling basis - we encourage you to apply early.
• Successful candidates must be able to commit to at least 3 months long internship period.
• Candidates who pass resume screening will be invited to participate in TikTok 's technical online assessment.
• Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.
• From August to December
• From May to August (Summer)
• Responsible for developing and operating our internal BI platform to support various business of advertising and analytics.
• Process data processing requests and execute data model design, implementation and maintenance;

Requirements

• Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or a related technical major;
• Strong interest in computer science and internet technology;
• Know relevant technologies of the Hadoop ecosystem, such as the principles of MapReduce, Spark, Hive, and Flink;
• Familiar with SQL, be able to use SQL to perform data analysis, or proficient in Java, Python and Shell and other programming languages for data processing;
• Good at communication, proactive in work, a strong sense of responsibility, and good teamwork ability.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
• If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.