- Geylang Southeast (Singapore) Singapore
Full Time Senior AI Data Engineer Jobs, Salary up to SGD 14,000 in Singtel Southeast (Singapore) - Maukerja
Working Location
Job Description
Responsibilities
Be a Part of Something BIG!
Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
Develop and optimise batch and streaming pipelines using cloud tools such as Databricks and Kafka, applying sound engineering practices to ensure performance, resilience, and maintainability.
Contribute to the delivery of reliable, secure, and high-quality data for analytics, reporting, and machine learning use cases
Lead the implementation and operationalisation of knowledge base and retrieval-augmented generation solution stacks to support scalable GenAI and agentic use cases across business domains
Make an Impact by:
Design, build, optimise, and maintain batch and streaming data ingestion pipelines using platforms such as Databricks and Kafka, ensuring scalability, reliability, observability, and alignment with enterprise data architecture standards.
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
Provide technical guidance to engineers and delivery partners on data platform patterns, reusable components, code quality, deployment readiness, and production support practices.
Lead integration of data from diverse source systems including files, APIs, databases, and streaming platforms, working with source-system owners and consuming teams to define fit-for-purpose ingestion patterns and delivery timelines.
Help maintain metadata and pipeline documentation for transparency and traceability
Own production readiness for assigned data and AI platform components, including observability, incident triage, root-cause analysis, release coordination, and continuous improvement of operational runbooks.
Participate in integrating pipelines with tools such as Microsoft Fabric, Databricks, Delta Lake, and other platform components
Build and maintain knowledge base and RAG solution on variety of hosting platforms
Implement and operate knowledge base storage, lifecycle management and embedding/vectorization
Contribute to automation efforts using version control and CI/CD workflows
Apply data governance, security, access control, and operational risk policies during solution design and implementation, ensuring pipelines and knowledge platforms meet enterprise compliance requirements.
Skills for Success:
Bachelor’s degree in Computer Science, Engineering, or a related field
5–8 years of experience in data engineering, data platform engineering, or cloud-scale analytics solution delivery, with demonstrated ownership of production pipelines and platform components.
Proven ability to independently design, build, optimise, and operate production-grade batch or streaming data pipelines, including orchestration, observability, error handling, performance tuning, and operational support.
Hands-on experience with Python and SQL for data transformation and validation
Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts
Experience with implementing knowledge base and RAG solutions for agentic AI use cases
Self-starter with strong problem-solving skills and a keen attention to detail
Able to work independently and lead technical discussions with engineers, architects, product owners, source-system teams, and business stakeholders to translate requirements into secure and maintainable platform solutions.
Strong documentation and communication skills
Strong understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations for data and AI platform solutions.
The Singtel Group is Asia's leading communications group, providing a wide spectrum of multimedia and infocomms technology (ICT) solutions across 3 global business units.
Group Consumer focuses on next-generation communication, infotainment and technology services to consumers and small businesses. Group Enterprise provides innovative and comprehensive ICT solutions, i.e. satellite services, international data and managed services, cloud computing, enterprise mobility services, and end-to-end solutions. Group Digital L!fe strives to bring people together with a cutting edge mix of digital services such as NextGen TV, e-books, music, digital concierge, cloud-based gaming and hyperlocal content.
Headquartered in Singapore, Singtel’s 130 years of operating experience has played a pivotal role in the country’s transformation into a major communications hub. Our Australian arm, Optus is an innovative leader in integrated telecommunications. Through our strategic investments in five regional mobile operators, Telkomsel, Globe Telecom, Advanced Info Service, PBTL, and Bharti Airtel, we are a major communications player in Asia and Africa.
Singtel is the largest listed company on the Singapore Exchange by market capitalisation. We have a vast network of offices in countries and territories throughout Asia Pacific, in Europe, USA and Australia. The Group employs more than 21,000 staff worldwide and has served 468 million mobile customers globally as of 31 March 2013.
Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
Develop and optimise batch and streaming pipelines using cloud tools such as Databricks and Kafka, applying sound engineering practices to ensure performance, resilience, and maintainability.
Contribute to the delivery of reliable, secure, and high-quality data for analytics, reporting, and machine learning use cases
Lead the implementation and operationalisation of knowledge base and retrieval-augmented generation solution stacks to support scalable GenAI and agentic use cases across business domains
Make an Impact by:
Design, build, optimise, and maintain batch and streaming data ingestion pipelines using platforms such as Databricks and Kafka, ensuring scalability, reliability, observability, and alignment with enterprise data architecture standards.
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
Provide technical guidance to engineers and delivery partners on data platform patterns, reusable components, code quality, deployment readiness, and production support practices.
Lead integration of data from diverse source systems including files, APIs, databases, and streaming platforms, working with source-system owners and consuming teams to define fit-for-purpose ingestion patterns and delivery timelines.
Help maintain metadata and pipeline documentation for transparency and traceability
Own production readiness for assigned data and AI platform components, including observability, incident triage, root-cause analysis, release coordination, and continuous improvement of operational runbooks.
Participate in integrating pipelines with tools such as Microsoft Fabric, Databricks, Delta Lake, and other platform components
Build and maintain knowledge base and RAG solution on variety of hosting platforms
Implement and operate knowledge base storage, lifecycle management and embedding/vectorization
Contribute to automation efforts using version control and CI/CD workflows
Apply data governance, security, access control, and operational risk policies during solution design and implementation, ensuring pipelines and knowledge platforms meet enterprise compliance requirements.
Skills for Success:
Bachelor’s degree in Computer Science, Engineering, or a related field
5–8 years of experience in data engineering, data platform engineering, or cloud-scale analytics solution delivery, with demonstrated ownership of production pipelines and platform components.
Proven ability to independently design, build, optimise, and operate production-grade batch or streaming data pipelines, including orchestration, observability, error handling, performance tuning, and operational support.
Hands-on experience with Python and SQL for data transformation and validation
Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts
Experience with implementing knowledge base and RAG solutions for agentic AI use cases
Self-starter with strong problem-solving skills and a keen attention to detail
Able to work independently and lead technical discussions with engineers, architects, product owners, source-system teams, and business stakeholders to translate requirements into secure and maintainable platform solutions.
Strong documentation and communication skills
Strong understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations for data and AI platform solutions.
The Singtel Group is Asia's leading communications group, providing a wide spectrum of multimedia and infocomms technology (ICT) solutions across 3 global business units.
Group Consumer focuses on next-generation communication, infotainment and technology services to consumers and small businesses. Group Enterprise provides innovative and comprehensive ICT solutions, i.e. satellite services, international data and managed services, cloud computing, enterprise mobility services, and end-to-end solutions. Group Digital L!fe strives to bring people together with a cutting edge mix of digital services such as NextGen TV, e-books, music, digital concierge, cloud-based gaming and hyperlocal content.
Headquartered in Singapore, Singtel’s 130 years of operating experience has played a pivotal role in the country’s transformation into a major communications hub. Our Australian arm, Optus is an innovative leader in integrated telecommunications. Through our strategic investments in five regional mobile operators, Telkomsel, Globe Telecom, Advanced Info Service, PBTL, and Bharti Airtel, we are a major communications player in Asia and Africa.
Singtel is the largest listed company on the Singapore Exchange by market capitalisation. We have a vast network of offices in countries and territories throughout Asia Pacific, in Europe, USA and Australia. The Group employs more than 21,000 staff worldwide and has served 468 million mobile customers globally as of 31 March 2013.
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