Senior Data Engineer

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is seeking an experienced Senior Data Engineer to design and optimize data pipelines on a Big Data platform, enabling streaming and batch processing. You will build data apps and dashboards, integrate frontend with backend services, and conduct PoCs for new data solutions.

The role requires 5+ years of hands-on experience with Hadoop-like ecosystems, Python, Spark, and Airflow, plus data security and collaboration with cross-functional teams. Singapore-based, full-time.

Qualifications

• Bachelor's degree in Computer Science, Math, Data Analytics or related field.
• 5+ years hands-on development experience.
• Knowledge in Big Data platforms (Hadoop, mapR, Cloudera, HPE).
• Proficiency in Python, PySpark, SQL, NoSQL, kSQL; Linux shell scripting.
• Experience with data APIs (Spring Boot, Flask) and web development.
• Experience with Open Source like Apache Airflow and Zeppelin Notebook.
• Basic MS Office skills (Excel/Word/PowerPoint).
• Strong communication and collaboration with technical and non-technical teams.

Responsibilities

• Develop new and improve existing data pipelines on Big Data platforms.
• Build data applications for streaming and batch datasets.
• Work on Airflow with Python, Spark, PySpark, Scala, Java, SQL.
• Develop frontend dashboards and backend integrations using React/Angular/Django/FastAPI/Springboot.
• Perform R&D and PoC for new data solutions.
• Manage metadata and data security.
• Drive data quality and efficiency in data lake and streaming platforms.
• Lead and mentor Junior Data Engineers; oversee DevOps/DataOps in Data Engineering.

Skills

Data engineering

Big Data

Python

PySpark

SQL

NoSQL

KSQL

REST APIs

Airflow

Open Source

Spark

React

Angular

Django

Spring Boot

Flask

Linux shell

Data security

DevOps

Education

Bachelor's degree in Computer Science, Math, Data Analytics or related field

Tools

Hadoop

mapR

Cloudera

HPE

Apache Airflow

Zeppelin Notebook

Spring Boot

Flask

React

Angular

Django

FastAPI

Spark

PySpark

SQL

Job description

We're building an AI-first telco for the future—connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology.

From transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.

At Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.

This is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.

Backed by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.

How You Will Make An Impact

• Develop new and improve existing data pipeline on Big Data platform (Hadoop, mapR 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
• Responsible in developing frontend dashboards and integration to back end. Using frontend and backend API Frameworks such as React, Angular Django, FastAPI, Springboot
• 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 Streaming Operations (or equivalent) in Data 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, mapR, Cloudera, HPE, 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) and web development
• 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
• Good interpersonal skills
• Highly self-driven, demonstrate critical thinking, team player & fast learner
• Good technical writing skills
• Excellent communication and presentation skills in English

Are you ready to say hello to BIG Possibilities?

Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.