Data Engineer

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

Overview

We're hiring an experienced Data Engineer to support critical analytics platforms and a multi‑phase data modernisation programme for an enterprise‑scale client. This long‑term engagement supports both ongoing data platform operations and the delivery of a cloud migration initiative, transitioning legacy on‑prem data systems to a modern Snowflake and dbt‑based architecture. This is hands‑on and delivery‑focused, suited for a technically strong engineer who can operate independently in a structured enterprise environment.

Key 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 and ETL tools to cloud‑based platforms
• Balance project delivery with BAU operational support as required
• Improve existing data processes through automation and efficiency gains
• Ensure reliability, data quality, and maintainability of production data pipelines
• Collaborate with internal engineers and external vendor partners to deliver outcomes
• Participate in technical discussions, reviews, and live pair programming sessions
• Track and resolve data issues, incidents, and enhancement requests in a delivery‑focused manner
• Follow established engineering standards, controls, and documentation practices

Required Experience & Skills

• 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 capabilitiesAbility to work independently, manage priorities, and deliver with minimal supervision
• Comfortable operating in production, enterprise environments
• Strong communication and collaboration skills when working with cross‑functional teams

Nice to Have

• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience working in large, regulated, or enterprise organisations
• Exposure to Agile or SDLC methodologies (Scrum, Kanban)
• Prior involvement in data platform migration or uplift initiatives
• Financial services or complex data domain exposure