Data Engineer - (Public Sector)

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

Job summary

A technology company in Singapore is looking for a Data Engineer to design and maintain data pipelines and systems. The ideal candidate should have 2–5 years of experience in data cleaning, ETL tools, and database design. Public sector experience is preferred, particularly with Singapore Government projects. Join a collaborative team to drive data solutions in an Agile environment.

Qualifications

• Strong proficiency in data cleaning and transformation.
• Hands-on experience with ETL pipeline tools/frameworks.
• Proficient in database design and experience with multiple databases.

Responsibilities

• Design, develop, and deploy data tables and views.
• Build and maintain large-scale data pipelines.
• Collaborate with Project Managers and Data Architects.

Skills

Data cleaning and transformation (SQL, pandas, R)

ETL pipeline tools/frameworks (SSIS, AWS DMS, AWS Lambda)

Database design (SQL, PostgreSQL, MySQL)

Big data frameworks (Hadoop, Spark, Kafka)

Scripting languages (Python, SQL)

Education

2–5 years of relevant experience

Tools

AWS S3

Postgres/GIS

Data scraping tools (BeautifulSoup, Selenium)

Job description

Overview

Being a Data Engineer with Xtremax means more than just moving data around—you’ll help design, build, and maintain the pipelines and systems that power our products and analytics. You’ll work closely with architects, analysts, and developers to transform raw data into meaningful insights and scalable solutions. Candidates with public sector experience are preferred, as this role supports IT projects for government agencies.

Responsibilities

Data Design & Development

• Design, develop, and deploy data tables, views, and marts across data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping when required.
• Build and maintain large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and collate data silos in a scalable and compliant manner.

Collaboration & Delivery

• Work closely with Project Managers, Data Architects, Business Analysts, Frontend Developers, Designers, and Data Analysts to deliver data-driven products.
• Develop backend APIs and work on databases to support applications.
• Participate in pair programming and code reviews to ensure code quality and reliability.
• Work in an Agile environment practicing Continuous Integration and Delivery.

Must-Have

• Strong proficiency in data cleaning and transformation (e.g., SQL, pandas, R).
• Must have 2–5 years of relevant experience.
• Hands-on experience with ETL pipeline tools/frameworks (e.g., SSIS, AWS DMS, AWS Lambda, Glue, ECS, EventBridge, Python, Spring).
• Proficient in database design and experience with multiple databases (e.g., SQL, PostgreSQL, MySQL, MongoDB, Cassandra, SQLite, VoltDB, AWS S3, Athena, Postgres/GIS).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).
• Solid understanding of system design, data structures, and algorithms.
• Comfortable with at least one scripting language (e.g., Python, SQL).
• Experience working in both Windows and Linux environments.

Nice to Have

• Cloud experience with AWS, Azure, or Google Cloud.
• Familiarity with data modeling, data marts, data lakes, virtualization, and warehouses.
• Experience with REST APIs and web protocols.
• Exposure to web scraping frameworks/tools (e.g., BeautifulSoup, Selenium, PhantomJS, Node.js).
• Knowledge of data governance policies, access control, and security best practices.
• Interest in bridging engineering and analytics.
• Experience working on Singapore Government projects will be advantageous

Certificate Preferred

• AWS Certified Data Analytics – Specialty
• Google Cloud Professional Data Engineer
• Microsoft Azure Data Engineer Associate