Data Engineer

Tek Systems; Singapore; On-site; SGD 75,000 - 100,000; Full time

Job summary

Tek Systems is seeking an experienced Data Engineer in Singapore to support critical analytics platforms and a multi-phase data modernization program. This long-term engagement involves building data transformation pipelines using SQL and dbt, executing data migration to cloud platforms, and ensuring data quality. Candidates should have over 4 years of experience in data engineering, strong SQL skills, and familiarity with Snowflake. The role is hands-on, requiring autonomy and collaboration across teams.

Qualifications

• 4+ years of experience in data engineering or data platform roles.
• Strong hands-on SQL experience.
• Proven experience with Python for data engineering or automation.

Responsibilities

• Build, maintain, and migrate data transformation pipelines using SQL and dbt Core.
• Support day-to-day data engineering activities.
• Execute data migration workstreams from legacy databases to cloud-based platforms.

Skills

SQL experience

Experience with dbt Core

Python for automation

Analytical and problem-solving capabilities

Communication and collaboration skills

Tools

Snowflake

ETL tools

AWS or Azure or 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 capabilities
• Ability 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

We regret to inform that only shortlisted candidates will be notified.