Data Engineer

4 days ago

Singapur, Singapore Shopee Full time

Overview

Join to apply for the Data Engineer - Marketplace App & Mobile (Campus Recruitment 2026) role at Shopee .

About The Team
Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa. Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied. The Marketplace App & Mobile Team focuses on building data and intelligence products that enhance user experience and performance across Shopee’s mobile platforms. Our mission is to support key business decisions through high-quality data infrastructure, real-time analytics, and scalable data solutions across app features, user behavior tracking, and performance monitoring. We empower the mobile product, engineering, and operations teams by delivering timely, accurate, and actionable data. From onboarding experiences and personalization to app stability and feature adoption, we provide the data foundation to support the end-to-end lifecycle of Shopee’s mobile products.

Job Description

Responsibilities
  • Participate in the development and optimization of the Marketplace mobile data warehouse, including real-time and offline data ingestion, modeling, and data governance.
  • Collaborate with product managers, mobile engineers, and analysts to gather business requirements, design data pipelines, and build scalable solutions that support mobile product decisions, A/B testing, user behavior analysis, and app performance tracking.
  • Work closely with business and tech teams to improve data accessibility and quality across user-facing mobile app features.
  • Drive the exploration and adoption of new data engineering technologies to support high-throughput and low-latency data applications.
Qualifications
  • Bachelor’s degree or above in Computer Science or a related technical field, graduating from December 2025 to May 2026.
  • Familiar with at least one big data processing technology such as Spark, Flink, Hadoop, HBase, Kafka, Druid, ClickHouse, etc.
  • Proficient in at least one programming language: Java, Scala, Python, SQL, etc.
  • Solid understanding of data warehouse principles and experience in data modeling, pipeline design, and performance optimization, preferably for mobile or user-facing products.
  • Strong problem-solving skills, with good communication and cross-functional collaboration capabilities.
  • Experience in supporting mobile product analytics, real-time event tracking, or A/B testing frameworks is a strong plus.
Details
  • Seniority level: Entry level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Software Development, Internet Marketplace Platforms, and Technology, Information and Internet
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