Big Data Engineer Graduate (Data Platform, TikTok Global E-Commerce) - 2026...

TikTok Pte. Ltd.; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading technology company in Singapore is seeking backend engineers to join its E-Commerce team. Successful candidates will translate business needs into technical implementations and manage data modeling and ETL jobs. The position requires a strong coding background in languages like Python or Java and is aimed at final year or recent graduates eager to make an impact in the data space. Apply soon as we review applications on a rolling basis.

Qualifications

• Final year or recent graduate with a background in Software Development, Computer Science, or related technical discipline.
• Strong coding capabilities in at least one programming language.

Responsibilities

• Translate business requirements into technical implementations.
• Manage data modeling design, writing, and optimizing ETL jobs.
• Collaborate with the business team to build data metrics.

Skills

Coding capabilities

Data warehouse knowledge

SQL

Data structure & algorithms

Collaboration skills

Fast learning

Education

Degree in Software Development or related field

Tools

Python

C/C++

Java

Golang

Job description

Responsibilities

Team Introduction Our Data Platform Business Partnering team is at the core of TikTok E-Commerce business, responsible for generating tremendous amount of data and providing accessing services and applications. We empower many business & engineering teams to analyze and develop innovative strategies and products driving business growth.

We are looking for passionate and talented backend engineers to join us to drive the future of E-Commerce together. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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. Applications will be reviewed on a rolling basis

• we encourage you to apply early.

Responsibilities:

• Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse.
• Manage data modeling design, writing, and optimizing ETL jobs.
• Collaborate with the business team to building data metrics based on data warehouse.
• Building and maintenance of data products.
• Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings, along with creation of dynamic data reports.

Qualifications

Minimum Qualifications:

• Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Solid computer basic knowledge (e.g. data structure & algorithms, SQL and networks).
• Strong coding capabilities and mastering at least one programming language (e.g. C/C++/Java/Python/Golang).

Preferred qualifications:

• Passionate about data warehouse, ETL development, data analysis and E-Commerce.
• Good communication skills and a fast learner of new business and technology knowledge.
• Strong collaboration skills with the ability to build rapport across teams and stakeholders.

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 [e-mail]