Senior Data Engineer: Snowflake & dbt Cloud Migration

Allegis Group Singapore Pte Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Allegis Group Singapore Pte Ltd is looking for an experienced Data Engineer to enhance critical analytics platforms and support a significant data modernization program. The role demands proficiency in SQL and dbt Core, with hands-on experience in cloud migration initiatives involving Snowflake-based architecture.

Your contributions will directly influence the efficiency and reliability of data operations critical to enterprise success, operating within a structured environment.

Qualifications

• 4+ years of experience in data engineering or data platform roles.
• Strong, hands-on SQL experience (non-negotiable).
• Practical experience working with dbt Core.
• Exposure to Snowflake or similar cloud data warehouse platforms.
• Proven experience with Python for data engineering or automation.
• Strong analytical and problem-solving capabilities.
• Comfortable operating in production, enterprise environments.

Responsibilities

• Build, maintain, and migrate data transformation pipelines using SQL and dbt Core.
• Support day-to-day data engineering activities for a large, business-critical analytics platform.
• Execute data migration workstreams from legacy databases to cloud-based platforms.
• Balance project delivery with BAU operational support.
• Improve existing data processes through automation.
• Ensure reliability and maintainability of production data pipelines.

Skills

SQL

dbt Core

Python

Analytical skills

Collaboration skills

Tools

Snowflake

AWS

Azure

GCP

Job description

Allegis Group Singapore Pte Ltd is looking for an experienced Data Engineer to enhance critical analytics platforms and support a significant data modernization program. The role demands proficiency in SQL and dbt Core, with hands-on experience in cloud migration initiatives involving Snowflake-based architecture.

Your contributions will directly influence the efficiency and reliability of data operations critical to enterprise success, operating within a structured environment.