Senior Data Engineer

Singtel Group; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology services firm in Singapore is seeking a Senior Data Engineer to design and maintain data infrastructure. This role involves building scalable data pipelines and collaborating with data scientists and analysts. The ideal candidate will have experience with ETL frameworks, big data technologies, and cloud platforms. As part of a dynamic team, you will drive data governance practices and ensure the quality and security of data workflows. Join us in making the extraordinary happen.

Qualifications

• Experience with ETL/ELT frameworks and orchestration tools.
• Familiarity with data warehousing and big data technologies.
• Strong understanding of data modelling and schema design.

Responsibilities

• Design and implement scalable data pipelines.
• Build and maintain data lakes and warehouses.
• Ensure data quality and consistency.

Skills

ETL/ELT frameworks and orchestration tools

Data warehousing and big data technologies

Data modelling, partitioning, indexing, schema design

Cloud platforms (AWS, Azure, GCP)

Batch and real-time data streaming

Data governance, data quality, data lineage

DevOps, CI/CD, version control, infrastructure as code

Job description

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 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Senior Data Engineer, you are responsible for designing, building, and maintaining the data infrastructure that enables efficient data collection, transformation, storage, and access across systems. The role ensures that data pipelines are scalable, secure, and optimized to support analytics, machine learning, and business intelligence use cases. The Data Engineer collaborates closely with data scientists, analysts, software engineers, and architects to deliver reliable and high-quality data solutions.

What you will do:

• Design and implement scalable data pipelines to ingest, transform, and deliver data across platforms
• Build and maintain data lakes, data warehouses, and analytical data stores
• Ensure data quality, security, and consistency through validation, monitoring, and automated checks
• Collaborate with data scientists and analysts to make data accessible and analysis-ready
• Optimize data workflows for performance, reliability, and cost-efficiency
• Implement data governance practices such as metadata management, cataloging, and lineage tracking
• Troubleshoot data pipeline issues and perform root cause analysis
• Document data flows, data definitions, and engineering processes

The ideal candidate should possess:

• Experience with ETL/ELT frameworks and orchestration tools (e.g., Apache Airflow, AWS Glue, dbt)
• Familiarity with data warehousing and big data technologies (e.g., Snowflake, Redshift, BigQuery, Databricks, Hadoop, Spark)
• Strong understanding of data modelling, partitioning, indexing, and schema design
• Knowledge of cloud platforms (AWS, Azure, GCP) and their native data services
• Experience with batch and real-time data streaming (e.g., Kafka, Kinesis)
• Proficiency in data governance, data quality, and data lineage practices
• Familiarity with DevOps, CI/CD, version control, and infrastructure as code (e.g., Terraform)

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.