Senior Data Engineer | Game Industry

Manpower Staffing Services; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A staffing company in Singapore is looking for a Senior Data Engineer to build and manage data pipelines supporting an advanced user growth platform. The ideal candidate will have a Bachelor's degree in a related field and at least 5 years of data engineering experience. Key responsibilities include designing scalable data pipelines, implementing ETL processes, and collaborating with business teams to derive insights. Familiarity with big data technologies and SQL is essential.

Qualifications

• Min of 5 years of experience in data engineering.
• Expertise in big data technologies such as Spark, Flink, Elasticsearch and Kafka.
• Experience with digital marketing, advertising, user growth, or game publishing.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Implement data models and ETL processes for monitoring and optimization.
• Collaborate with business teams for actionable insights.

Skills

Big data technologies (Spark, Flink, Elasticsearch, Kafka)

SQL

Python or Scala

Data analysis

Data mining or machine learning

Education

Bachelor's degree in Computer Science, Data Science, or a related field

Tools

Data warehouse architecture

Job description

About the job

We are looking for a Senior / Data Engineer to build and manage the data pipelines and infrastructure supporting the cutting‑edge user growth platform. This role will ensure seamless data integration and real‑time analytics capabilities.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines to process and analyze data from multiple advertising platforms.
• Implement data models and ETL processes to support automated monitoring and performance optimization.
• Collaborate with the business team to enable actionable insights and reporting.
• Ensure data quality, integrity, and security across all pipelines.
• Optimize data storage and retrieval for real‑time decision‑making.
• Work closely with backend engineers and product managers to align data engineering efforts with business goals.

Job Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field;
• Min of 5 years of experience in data engineering;
• Expertise in big data technologies such as Spark, Flink, Elasticsearch and Kafka, etc;
• Experience with digital marketing, advertising, user growth, or game publishing;
• Proficiency in SQL and programming like Python or Scala;
• Experience with data warehouse architecture;
• Excellent communication skills and ability to work collaboratively;
• Experience with data analysis, data mining or machine learning is a plus.