Senior Data Engineer: Scalable Cloud Pipelines & ML

Argyll Scott; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Argyll Scott is seeking a Senior Data Engineer in Singapore to design scalable data platforms and reliable pipelines for analytics and ML initiatives. You will collaborate with product and analytics teams to deliver real-time personalized customer experiences.

The role requires hands-on experience with SQL, Python, data modelling, and cloud data stacks such as BigQuery, dbt, Airflow, across GCP/AWS/Azure. Strong communication and problem-solving are essential.

Qualifications

• 4+ years of experience in Data Engineering.
• Strong SQL, Python and data modelling expertise.
• Hands-on experience with cloud data stacks and data pipelines.
• Experience with ML data pipelines or real-time personalization data.

Responsibilities

• Design and maintain scalable cloud-based data pipelines and modern data warehouse solutions.
• Build robust data models and high-quality datasets to support analytics and products.
• Partner with ML engineers to enable model training, real-time inference, and recommendations.
• Drive CI/CD, testing, monitoring, data quality, and platform reliability.

Skills

SQL

Python

Data modelling

Data pipelines

Cloud data stacks

Tools

BigQuery

dbt

Airflow

GCP

AWS

Azure

Job description

Argyll Scott is seeking a Senior Data Engineer in Singapore to design scalable data platforms and reliable pipelines for analytics and ML initiatives. You will collaborate with product and analytics teams to deliver real-time personalized customer experiences.

The role requires hands-on experience with SQL, Python, data modelling, and cloud data stacks such as BigQuery, dbt, Airflow, across GCP/AWS/Azure. Strong communication and problem-solving are essential.