Data Engineers

BUSINESS EDGE PERSONNEL SERVICES PTE LTD; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A recruitment agency seeks a Senior Data Engineer in Singapore to design ETL processes, manage data warehousing solutions, and mentor junior engineers. The ideal candidate will have strong experience with Python, SQL databases, and familiarity with cloud platforms like GCP and AWS Bedrock. This position offers a contract from September 2025 to August 2027 in a collaborative environment at Mapletree Business City.

Qualifications

• 1-3 years (Junior) 3–7 years (Senior) of experience in data engineering.
• Proficient in Python and data engineering principles.
• Solid understanding of algorithms and database structures.

Responsibilities

• Design and implement ETL/ELT processes.
• Manage scalable data warehousing solutions.
• Mentor junior engineers and lead data projects.

Skills

Data engineering

Python

SQL/NoSQL/Graph databases

GCP

AWS Bedrock

SPLUNK

Tools

CI/CD setups

Kafka

SQS

Job description

Job Scope:

• Design and implement ETL/ELT processes
• Manage and maintain scalable data warehousing solutions
• Deploy machine learning models into production environments
• Ensure data quality, consistency, and integrity across various data sources
• Collaborate with team and software engineers to develop data-driven features

Senior Data Engineers:

• Define and implement best practices for data and DevOps processes
• Provide technical leadership and guidance across teams
• Mentor junior engineers and contribute to capability building

Job Requirements:

• 1-3 years (Junior ) 3–7 years (Senior) of relevant experience in data engineering or a related role
• Strong proficiency in Python
  • Experience with SQL/NoSQL/Graph databases
  • Familiarity with GCP, AWS Bedrock, SPLUNK
  • Experience with CI/CD setups
  • Solid foundation in algorithms, database structures, and integration strategies
  • Proven ability to design scalable data solutions

Preferred Skills:

• Familiarity with building scalable APIs and deploying ML/AI solutions
  • Understanding of data-intensive frameworks and event-driven architectures (e.g., Kafka, SQS)
  • Exposure to graph data structures

Working hours:

Mondays to Fridays: Working hours

Contract Period: 1/9/2025 to 31/8/2027

Location: Mapletree Business City

EA License No.: 96C4864

Reg No.: R25128798 HUANG QIMENG