Data Engineer — Cloud Data Pipelines for Enterprise AI

Temus; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Temus is seeking a data engineering professional with 3-5 years of experience in designing and operationalising data solutions. Candidates should have hands-on experience with Databricks/Snowflake and a strong understanding of cloud data platforms like AWS, GCP, and Azure.

This role involves delivering impactful data pipelines and supporting the development of thought leadership in data engineering. Excellent communication skills and the ability to work independently or as part of a large team are essential.

Qualifications

• Minimum 3–5 years of designing, building and operationalising data solutions.
• Hands-on experience with Databricks/Snowflake on cloud infrastructure.
• Excellent understanding of SQL data storage structures.

Responsibilities

• Delivery of data pipelines to drive transformation for clients.
• Support thought leadership development for data engineering.

Skills

Data solution design

Python

Cloud data platforms

SQL querying

Data streaming

Communication skills

Tools

Databricks

Snowflake

AWS

GCP

Azure

Tableau

Kafka

Job description

Temus is seeking a data engineering professional with 3-5 years of experience in designing and operationalising data solutions. Candidates should have hands-on experience with Databricks/Snowflake and a strong understanding of cloud data platforms like AWS, GCP, and Azure.

This role involves delivering impactful data pipelines and supporting the development of thought leadership in data engineering. Excellent communication skills and the ability to work independently or as part of a large team are essential.