Big Data Engineer Graduate (TikTok Global E-commerce Recommendation Architecture) - 2026 Start [...]

TIKTOK PTE. LTD.; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A leading tech company in Singapore is seeking a talented individual to join their E-commerce Recommendation Infra team as a graduate. The role involves designing offline data architecture and building scalable systems for recommendation systems. Candidates should possess a degree in a relevant technical field and familiarity with big data frameworks. Opportunities for growth and innovation are encouraged within a vibrant team environment.

Benefits

Yoga and fitness

Stock options

Paid leave

Flexible hours

Qualifications

• Final year or recent graduate in relevant technical discipline.
• Familiar with open source big data frameworks.
• Strong coding and troubleshooting abilities.

Responsibilities

• Design and implement offline data architecture for recommendation systems.
• Troubleshoot production systems for operational stability.
• Build distributed systems for massive data and large-scale business.

Skills

Software Development

Data Mining

Natural Language Processing

Machine Learning

Education

Degree in Software Development, Computer Science, or related field

Tools

Hadoop

Spark

Kafka

ElasticSearch

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

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

- Design and implement a reasonable offline data architecture for large-scale recommendation systems.

- Design and implement flexible, scalable, and high-performance storage and computing systems.

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system.

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.

- 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 modeling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

- Visualise, interpret, and report data findings and may create data reports as well.

Qualifications

Minimum Qualifications:

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

- Familiar with Java, C ++ and other programming languages.

- Strong coding and trouble shooting ability.

Preferred Qualifications:

- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.

- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.

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]