Senior Data Platform Engineer: Scalable Analytics & AI

PLP Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Kape Technologies in Singapore is seeking a Senior Data Engineer to architect and maintain modern data infrastructure and pipelines, enabling analytics and AI-driven workflows across the company. You will collaborate with analysts, product, and engineering to design end-to-end data solutions using Snowflake, Redshift, Athena, and related cloud services, while ensuring governance, security, and reliability.

We value hands-on leadership in data modeling, ETL/ELT, and scalable platforms, with

Qualifications

• 5+ years of experience as a Data Engineer with data pipeline development.
• Strong Python and SQL programming skills.
• Experience with Snowflake or AWS Redshift.
• Hands-on with LLM-powered analytics workflows in production.
• Experience with Airflow, dbt, and orchestration tools.
• Solid data modeling and ETL/ELT knowledge.
• Excellent communication and cross-functional collaboration.
• Experience in high-growth SaaS environments.

Responsibilities

• Design and build scalable data pipelines to ingest, process, and store data.
• Develop and maintain data warehouse architectures using Snowflake and Redshift.
• Optimize data models and queries for performance, scalability, and cost.
• Collaborate with analytics, product, payments and finance to deliver data solutions.
• Ensure data governance, quality, security, and monitoring.
• Own and operate production data workflows and resolve incidents.
• Support analytics and AI workloads with scalable data access.

Skills

Python

SQL

Data modeling

Data warehousing

LLM workflows

ETL/ELT

Airflow

dbt

Cloud DevOps

Communication

Education

Bachelor's or Master’s degree in Computer Science or related field

Tools

Snowflake

AWS Redshift

Athena

Apache Airflow

dbt

Terraform

Docker

Kafka

Kinesis

Tableau

Power BI

Job description

Kape Technologies in Singapore is seeking a Senior Data Engineer to architect and maintain modern data infrastructure and pipelines, enabling analytics and AI-driven workflows across the company. You will collaborate with analysts, product, and engineering to design end-to-end data solutions using Snowflake, Redshift, Athena, and related cloud services, while ensuring governance, security, and reliability.

We value hands-on leadership in data modeling, ETL/ELT, and scalable platforms, with