Data Engineer

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 15,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Data Engineer, you will be responsible for developing and maintaining scalable data pipelines, integrating multiple data sources, and ensuring high-quality data processing for analytics, reporting, and machine learning tasks. The role involves collaborating with analytics, product, and infrastructure leaders to advance the company's data and analytics platform, while ensuring data governance, monitoring, and reliability standards are met.

What will you do

• Develop and maintain ETL pipelines for centralized data storage systems
• Integrate data from databases, APIs, log files, streaming platforms, and external providers
• Develop data transformation routines to clean, normalize, and aggregate data
• Apply data processing techniques to handle complex or inconsistent datasets
• Contribute to frameworks and best practices for code development and deployment
• Implement data governance in alignment with company standards
• Partner with analytics and product leaders to design and operationalize pipelines
• Collaborate with infrastructure leaders to advance cloud-based data platforms
• Explore new tools and techniques leveraging Azure, Databricks, or related platforms
• Monitor data pipelines to detect and resolve issues promptly
• Develop monitoring tools, alerts, and automated error-handling mechanisms
  
  

The ideal candidate should possess:

Essential Qualifications

• The position is open to wide range of data engineering experience level including fresh graduate
• Good experience designing data solutions including data modeling
• Hands-on experience with data processing jobs using Talend, PySpark and SQL
• Experience orchestrating data pipelines with Talend, ADF, Airflow, or similar tools
• Experience with both batch and real-time data processing
• Proficiency in SQL including advanced features, with exposure to more than one data systems, such as SQL DB, Cloudera
• Understanding of DevOps tools, Git workflows, CI/CD or MLOps pipelines

Preferred Attributes

• Domain knowledge of defense logistics, including its organisation and processes
• Experience and ability to apply Scrum practices in a practical project context
• Good knowledge of SAP system functionally with prior experience of working on ABAP code
• Strong problem-solving and collaborative mindset
• Some knowledge and experience of using Qlik for BI development

Preferred Professional and/or Technical Certifications

• Talend Data Integration Certified Developer
• Talend Big Data Certified Developer

ADDITIONS

• Experience with streaming technologies such as Apache Kafka, Apache Flink, or AWS Kinesis
• Ability to design and implement real-time data processing pipelines
  
  

We are driven by our AEIOU beliefsAdventure, Excellence, Integrity, Ownership, and Unityand we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.

Scam Alert

We are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.

Please note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender's email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. When in doubt, verify the sender's identity by contacting us at [Confidential Information].