Data Engineer

NCS; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Data Engineer at NCS in Singapore will design and maintain scalable data pipelines, integrating diverse data sources and ensuring high-quality data for analytics and ML tasks. You will work with analytics, product, and infrastructure teams to advance our data platform with governance and reliability as core principles.

The role involves implementing ETL/ELT processes, collaborating on cloud-based data platforms, and leveraging tools like Talend, PySpark, and Databricks to deliver robust data

Qualifications

• Experience in data engineering with ETL/ELT pipelines.
• Hands-on with Talend, PySpark and SQL.
• Experience with batch and real-time data processing.
• Familiarity with DevOps, Git workflows and CI/CD.

Responsibilities

• 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.

Skills

Hands-on data engineering

SQL proficiency

Python/PySpark

Data governance

DevOps/CI/CD

Education

Bachelor's degree in Computer Science/IT

Data Engineering certifications

Tools

Talend

ADF

Airflow

Databricks

Git

SQL/DB

Job description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

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

Qualifications

The ideal candidate should possess:

Essential Qualifications

• The position is open to wide range of data engineering experience level including fresh graduate
• 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

Additional Information

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and 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.