Data Engineer Intern

Posted 25 Days Ago
Be an Early Applicant
Amsterdam, NLD
In-Office
Internship
Gaming • Software • Metaverse
The Role
Design, build, and maintain scalable raw data pipelines for Tencent's overseas games. Optimize ingestion, processing, and storage with upstream engineering; support analysts, data scientists, and ML engineers downstream. Improve pipeline performance, quality, and maintainability using batch and streaming technologies, data modeling, programming, and SQL.
Summary Generated by Built In
Business UnitTencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.
Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.
Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.What the Role Entails

1. Responsible for the raw data pipeline for all Tencent overseas games, ensuring scalability, reliability, and efficiency.

2. Collaborate closely with upstream engineering teams to optimize data ingestion, processing, and storage.

3. Partner effectively with downstream stakeholders, including data analysts, data scientists, and ML engineers, to enable data-driven decision-making and advanced analytics.

4. Drive improvements in data pipeline performance, quality, and maintainability by implementing best practices and innovative solutions.

Who We Look For

1. Technical experience designing, building, and maintaining distributed data processing platforms.

2. Experience working with batch or streaming distributed data processing technologies. e.g. Hadoop, MapReduce, Spark, Flink, Kafka, Presto, etc. for building efficient & large-scale data pipelines.

3. Data modeling experience designing data warehouse table schemas and logging schemas.

4. Proficiency in at least one high-level programming language (Java, Scala, Python, Go or equivalent).

5. Experience with large, complex, highly dimensional data sets; hands-on experience with SQL.

6. Experience working with cross-functional teams to collect business requirements, build consensus, and manage expectations.

7. You are self-directed and capable of operating amidst ambiguity.

8. You are humble, continually growing in self-awareness, and possessing a growth mindset.

9. You are curious and have excellent written and verbal communication as well as problem-solving skills.

10. Bilingual proficiency in English and Mandarin to engage with stakeholders from HQ and international teams is a plus.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Skills Required

  • Technical experience designing, building, and maintaining distributed data processing platforms.
  • Experience with batch or streaming distributed data processing technologies (Hadoop, MapReduce, Spark, Flink, Kafka, Presto).
  • Data modeling experience designing data warehouse table schemas and logging schemas.
  • Proficiency in at least one high-level programming language (Java, Scala, Python, Go or equivalent).
  • Experience with large, complex, highly dimensional data sets; hands-on experience with SQL.
  • Experience working with cross-functional teams to collect business requirements and manage expectations.
  • Self-directed and capable of operating amidst ambiguity.
  • Humble, growth mindset, curious, with strong written and verbal communication and problem-solving skills.
  • Bilingual proficiency in English and Mandarin (a plus).

Tencent Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tencent and has not been reviewed or approved by Tencent.

  • Healthcare Strength Healthcare coverage is positioned as a standout, with strong PPO options and relatively low prescription costs highlighted for U.S. plans. This suggests the medical offering can be a meaningful component of the overall rewards package for U.S.-based employees.
  • Retirement Support Retirement support is framed as competitive in the U.S., with employer match details called out as an item to confirm in writing. This indicates retirement benefits can be a notable strength where applicable.
  • Strong & Reliable Incentives Performance-linked incentives and share-based awards are repeatedly included as part of the compensation model, alongside potential RSU and sign-on eligibility in certain roles. This points to total rewards often extending beyond base pay through variable and equity components.

Tencent Insights

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The Company
HQ: Shenzhen
107,879 Employees
Year Founded: 1998

What We Do

Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.

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