Senior Data Engineer | Game Industry

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A staffing services company in Singapore seeks a Senior / Data Engineer to build and manage data pipelines for a user growth platform. The ideal candidate will have expertise in big data technologies and experience in data engineering, while ensuring data quality and real-time analytics capabilities. This role involves collaboration with business teams to enable insights and reports.

Qualifications

• Min 5 years of experience in data engineering.
• Expertise in big data technologies.
• Experience with digital marketing or advertising.

Responsibilities

• Design and maintain data pipelines for multiple advertising platforms.
• Implement ETL processes for performance optimization.
• Ensure data quality and security across pipelines.

Skills

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

SQL

Python or Scala

Collaboration

Data analysis or mining

Education

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

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.