Data Engineer

QUESS SELECTION & SERVICES PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading recruitment agency in Singapore is seeking a Data Infrastructure Engineer to enhance their data engineering team. The successful candidate will focus on designing and building data pipelines using SQL and Python in a cloud environment. Experience with AWS or Azure and enterprise data solutions is essential. This role provides an opportunity to work with cutting-edge technologies like Glue, Spark, and Airflow. Competitive benefits and a dynamic work environment are offered.

Qualifications

• 1–3 years of experience in cloud data pipelines.
• Hands-on experience with AWS or Azure application architecture.
• Experience with enterprise-scale data solutions.

Responsibilities

• Collaborate with teams to enhance data infrastructure.
• Architect solutions for data delivery and monitoring.
• Develop cloud applications using PySpark and Python.
• Manage CI/CD pipelines and deployment workflows.

Skills

Designing production data pipelines

Building data solutions

Cloud application architecture

ETL design

SQL

Python

Unix/Linux CLI

Tools

AWS

GCP

Airflow

Databricks

Snowflake

PowerBI

Tableau

Job description

About the Role

We are seeking a Data Infrastructure Engineer to join our Data Engineering team. You will support the design, build, and optimisation of our enterprise-wide data infrastructure across AWS, GCP, and on-prem environments. Our Enterprise Datalake supports thousands of users, and you will play a key role in ensuring its reliability, performance, and scalability.

This role offers exposure to leading big data and cloud technologies such as AWS/GCP, Glue, Spark, DBT, Airflow, Tableau, and PowerBI.

Key Responsibilities

• Collaborate with data engineering and machine learning teams to enhance data infrastructure reliability, maintainability, and scalability.
• Architect and design solutions to improve data delivery, quality monitoring, and pipeline lifecycle management.
• Develop and administer cloud applications using PySpark, Python and related tools.
• Manage regression testing suites, CI/CD pipelines, and support continuous deployment workflows.

Requirements

• 1–3 years of experience designing and building production data pipelines (ingestion to consumption) using SQL and Python in a cloud environment.
• Hands‑on experience with cloud application architecture and administration on AWS or Azure.
• Experience working with enterprise‑scale data solutions (Airflow, Databricks, Snowflake, Serverless Functions, Cloud Storage preferred).
• Strong background in custom ETL design, implementation, and maintenance.
• Proficiency with Unix/Linux CLI.