Data & AI Engineer (Snowflake, AWS)

Randstad; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A premier staffing agency in Singapore is seeking a skilled Data & AI Engineer to lead data transformation efforts with Snowflake and AWS. This role offers opportunities for global collaboration and a clear career advancement path. Responsibilities include developing data pipelines and implementing AI/ML models. The position offers a salary range of SGD 7,000 to 8,000 plus additional perks.

Qualifications

• Experience in configuring and deploying Snowflake-based data warehouses.
• Proven track record in data preparation and pipeline development.
• Strong analytical skills to translate stakeholder requirements into data solutions.

Responsibilities

• Develop and maintain data pipelines and ETL/ELT processes.
• Collaborate with cross-functional global teams.
• Ensure data solutions meet governance and compliance requirements.

Skills

Snowflake

AWS

AI/ML

Data pipeline development

Data governance

Machine Learning

Tools

PostgreSQL

MS SQL

AWS S3

Job description

Overview

• Newly created role
• Offer opportunities for global collaboration
• Career growth opportunities

about the company

We are seeking a highly skilled and motivated Data & AI Engineer (Snowflake, AWS) to serve as the APAC representative for the Global Data Platform team. This is a unique role offering high visibility and impact, tasked with spearheading our data transformation initiatives, primarily leveraging Snowflake and AWS.

about the job

This position offers significant opportunities for global collaboration, allowing you to work closely with cross-regional peers and subject matter experts (SMEs) to build our next-generation data platform. You will start as the key expert for the APAC region, with a clear career path to move into a global leadership and contribution role.

Responsibilities

• Develop and maintain data pipelines, ETL/ELT processes, and advanced analytics tools
• Analyze stakeholder requirements to generate BI and Advanced Analytics datasets and develop consumption-ready data marts.
• Define and execute migration strategies from legacy databases (like PostgreSQL, MS SQL) to the Snowflake data warehouse.
• Propose and implement data model changes that adhere to global data warehouse standards.
• Implement data pipelines specifically designed for training and deploying AI and ML models.
• Handle unstructured data and contribute to real-time data processing capabilities.
• Manage the underlying cloud-based data storage solutions (AWS S3, etc.).
• Act as the APAC Subject Matter Expert (SME) and primary contributor to global
• Ensure all data solutions meet requirements for data governance, security, and compliance.
• Collaborate closely with data scientists, ML engineers, and business stakeholders across cross-functional, global teams.

skills and experience required

The core environment is built on Snowflake and AWS.

You will be instrumental in the configuration and deployment of a new, global Snowflake-based data warehouse, moving beyond proof-of-concept into a full production environment.

The role involves heavy data preparation and pipeline development to support sophisticated AI/ML use cases, including those involving LLMs and RAG pipelines.

whats an offer

The permanent role for a Data & AI Engineer (Snowflake, AWS) will pay a salary range of $ 7,000 to $ 8,000 plus perks from the company.