An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every 'hello' at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to sayHello BIG Possibilities.
Powering the Future with AIDA
To lead the next phase of our AI evolution, weve launched a new business unit
AIDA Artificial Intelligence & Data Analytics a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose.This marks a
pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.
At
Singtel, this is more than a technology upgrade. Its a
strategic transformation that redefines how value is created across the enterprise core
augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning
people, platforms, and processes under one cohesive strategy. Our mission is to build
AI literacy, and foster a culture where
intelligence empowers people.
We welcome you to join us on a transformational journey thats reshaping the telecommunications industry and redefining whats possible with AI at its core.
Grow with us in a workplace that champions
innovation, embraces
agility, and puts
human potential at the heart of everything we do.
Be a Part of Something BIG!
- Responsible for building and supporting data ingestion and transformation pipelines in a modern hybrid cloud platform
- Operate data virtualization layer to minimize data transfer, improve visibility and controls
- Independently develop basic batch and streaming pipelines, working with cloud tools such as Databricks and Kafka under the guidance of senior engineers
- Contribute to the delivery of reliable, secure, and high-quality data for analytics, reporting, and machine learning use cases
- Gain exposure to enterprise-scale data architecture, while growing into more advanced engineering responsibilities over time
Make An Impact By
- Build and maintain data ingestion pipelines for batch and streaming data sources using tools like Databricks and Kafka
- Perform data transformation and cleansing using PySpark or SQL based on business and technical requirements
- Monitor and troubleshoot data workflows to ensure data quality and pipeline reliability
- Work closely with senior data engineers to understand platform architecture and apply best practices in pipeline design
- Assist in integrating data from diverse source systems (files, APIs, databases, streaming)
- Help maintain metadata and pipeline documentation for transparency and traceability
- Participate in integrating pipelines with tools such as Microsoft Fabric, Databricks, Delta Lake, and other platform components
- Implement and operate data virtualization layer to centralize visibility and control of data across diverse sources
- Contribute to automation efforts using version control and CI/CD workflows
- Apply basic data governance and access control policies during implementation
Skills To Succeed
- Bachelors degree in Computer Science, Engineering, or a related field
- 13 years of experience in data engineering or data platform development
- Proven ability to independently build basic batch or streaming data pipelines
- Hands-on experience with Python and SQL for data transformation and validation
- Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts
- Self-starter with strong problem-solving skills and a keen attention to detail
- Able to work independently while collaborating effectively with senior engineers and other stakeholders
- Strong documentation and communication skills
