Senior Data Engineer

Date: 12 Nov 2023

Location: Singapore, Singapore

Company: Singtel Group

At Singtel, our mission is to Empower Every Generation. We are dedicated to fostering an equitable and forward-thinking work environment where our employees experience a strong sense of Belonging, to make meaningful Impact and Grow both personally and professionally. By joining Singtel, you will be part of a caring, inclusive and diverse workforce that creates positive impact and a sustainable future for all.



Be a Part of Something BIG!

Singtel Networks, the most established telecommunications infrastructure provider in Singapore is transforming to enable the digital generation of tomorrow. We are introducing new capabilities in 5G, Cloud, Analytics, Digital Commerce, Software Engineering, Cyber Security to enhance our core competencies and deliver innovative and differentiated Mobile and Fixed services (Broadband, TV and Telephony) for our customers. We are committed to celebrating inclusion and diversity and is a strong believer to upskill and nurture all individuals. Come join us today as we build Singtel’s Networks of tomorrow, and Empower Every Generation to live, work and play in new ways! 


Make an Impact by 

  • Develop new and improve existing data pipeline on Big Data platform (Hadoop or equivalent)
  • Build new and enhance existing data application for streaming and batch datasets
  • Work on Apache Airflow on data pipeline, Python, Spark, PySpark, Scala, Java, SQL, etc for data application open sources technologies
  • Develop and maintain Data REST API (Spring Boot, Java, Python or equivalent) and Streaming API (Kafka or equivalent)
  • Perform R&D and conduct PoC (proof-of-concept) for new data solution
  • Perform metadata and data management, data security
  • Drive optimization, testing and tooling to improve data quality & efficiency in data lake and streaming platform
  • Lead and monitor the performance of Junior Data Engineer and providing them with practical guidance, solution validation and implementation.
  • Lead and manage DevOps, DataOps and MLOps (or equivalent) in Data Engineering and Machine Learning Engineering
  • Design high level & detailed design to ensure that the solution delivers to the business needs and align to the data & analytics architecture principles and roadmap
  • Collaborate with different stakeholders from business, technical, project management and operation to design and implement the solution.
  • Ensure best practices, frameworks and re-useable components are employed in the development project
  • Ability to lead troubleshooting efforts for complex design and eliminate application issue faced by the project and operation team.
  • Understand various data security standards, information security standard and to apply and adhere to the required data controls for user access


Skills for Success 

  • Bachelor degree in Computer Science, Math, Data Analytics or related field with at least 5 years of hands-on development experience
  • Knowledge in Big Data Platform such as Hadoop, Cloudera, Hortonworks, etc
  • Hands-on experience in Programming language including Python, PysSpark, SQL, noSQL, kSQL, prefer to have experience in Big Data application and Linux shell scripting
  • Experience in Data API exposure (Spring Boot, Flask or equivalent)
  • Experience in Open Source like Apache Airflow, Zeppelin Notebook for Data Exploratory Analysis, etc
  • Basic knowledge in Microsoft software e.g. Excel, Word and Power Points.
  • Comfortable to work with technical and non-technical staff to explain concept and algorithms 


Rewards that Go Beyond

  • Hybrid work arrangements
  • Full suite of health and wellness benefits 
  • Ongoing training and development programs 
  • Internal mobility opportunities


Your Career Growth Starts Here. Apply Now!


We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.