Data Engineer Intern: Build Scalable Data Pipelines

Tencent International Service Pte. Ltd.; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

Tencent International Service Pte. Ltd. invites motivated students to join our backend/data engineering projects in Singapore. You will contribute to backend services and data pipelines, enabling product and data teams with scalable, reliable solutions.

You will gain exposure to distributed systems, real-time streaming using Pulsar/Kafka, and collaboration with international teams. Fluency in English and Mandarin is preferred and supports collaboration with HQ stakeholders.

Qualifications

• Pursuing an undergraduate or graduate degree in CS/DS/Math or a related quantitative field.
• Proficiency in at least one backend language: Python, Java, C/C++, or Go.
• Familiarity with big data ecosystems and tools (Spark, Hive, Iceberg, ClickHouse, Kafka, Pulsar) is a plus.
• Understanding of distributed systems concepts and willingness to learn in a fast-paced environment.

Responsibilities

• Support development of backend services and APIs for product and data needs.
• Build and maintain large-scale data pipelines for ingestion, transformation, and analytics.
• Collaborate with data platform to optimize storage and query performance (ClickHouse, Hive, Iceberg).
• Contribute to real-time data streaming infrastructure using Pulsar or Kafka.
• Translate business requirements into scalable technical solutions with product teams.
• Participate in code reviews and system design discussions, eager to learn.

Skills

Python

Java

C/C++

Go

Education

Undergraduate or Graduate degree in Computer Science, Data Science, Mathematics, or related field

Tools

Spark

Hive

Iceberg

ClickHouse

Kafka

Apache Pulsar

Job description

Tencent International Service Pte. Ltd. invites motivated students to join our backend/data engineering projects in Singapore. You will contribute to backend services and data pipelines, enabling product and data teams with scalable, reliable solutions.

You will gain exposure to distributed systems, real-time streaming using Pulsar/Kafka, and collaboration with international teams. Fluency in English and Mandarin is preferred and supports collaboration with HQ stakeholders.