Data Engineer (Databricks)
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Date: 5 Dec 2025
Location: Singapore, Singapore
Company: Singtel Group
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.
The Data Engineer will be responsible for designing, developing, and maintaining scalable and reliable data pipelines on Databricks and cloud platforms. The role requires integrating diverse data sources, ensuring high-quality data processing, and supporting analytics, reporting, and machine learning workloads. The role involves collaborating closely with analytics, product, and infrastructure teams to enhance the company’s data platform while adhering to best practices for governance, monitoring, and reliability.
What will you do?
Develop and maintain ETL pipelines for centralized data storage systems (e.g. Delta Lake).
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
Analyse business requirements and identify data extraction requirements
Attend requirement grooming and refinement sessions with users
Develop and maintain ETL pipelines for ingestion, transformation, validation, and loading
Optimise performance and batch scheduling
Develop dashboards, reports, scorecards, and data visualizations
Perform SIT, data validation, data profiling and confirm data accuracy
Validate completeness and consistency of ETL Loads
Support UAT and production implementation
The ideal candidate should possess:
3 or more years of experience in data engineering with scalable pipelines
Strong experience designing data solutions including data modelling and distributed computing architectures
Hands-on experience with data processing jobs using PySpark, Spark SQL, and Databricks notebooks/jobs
Experience orchestrating data pipelines with ADF, Airflow, or similar tools
Experience with both real-time and batch data processing
Experience building pipelines on Azure, with AWS experience beneficial
Proficiency in SQL including window functions and performance optimization
Understanding of DevOps tools, Git workflows, and CI/CD pipelines
Familiarity with Scrum methodology and experience working in Scrum teams
Ability to apply Scrum practices in a practical project context
Strong problem-solving and collaborative mindset
Experience with streaming technologies such as Apache Kafka, Apache Flink, or AWS Kinesis
Ability to design and implement real-time data processing pipelines
Databricks Certified Data Engineer Associate and Databricks Certified Data Engineer Professional are preferred
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.