Senior Data Engineer: Build Scalable Cloud Pipelines & ML

Argyll Scott Singapore; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Argyll Scott Singapore is seeking a Senior Data Engineer to design scalable data platforms and modern data pipelines that power analytics, ML, and real-time customer experiences. You will work across product, analytics, and engineering to build reliable data solutions in the cloud.

Join a fast-growing consumer technology business and partner with ML engineers to enable model training, real-time inference, and personalised recommendations while advancing CI/CD, testing, data quality, and platform

Qualifications

• 4+ years of data engineering experience with SQL, Python, and data modelling.
• Hands-on with BigQuery, dbt, Airflow and cloud platforms (GCP/AWS/Azure).
• Experience supporting ML data pipelines or real-time personalization.
• Strong communication and stakeholder management skills.

Responsibilities

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

Skills

SQL

Python

Data modelling

Tools

BigQuery

dbt

Airflow

GCP

AWS

Azure

Job description

Argyll Scott Singapore is seeking a Senior Data Engineer to design scalable data platforms and modern data pipelines that power analytics, ML, and real-time customer experiences. You will work across product, analytics, and engineering to build reliable data solutions in the cloud.

Join a fast-growing consumer technology business and partner with ML engineers to enable model training, real-time inference, and personalised recommendations while advancing CI/CD, testing, data quality, and platform