Registration of Interest for #AIDA Talent Acceleration Day (23 Sept 2026) - Senior AI Data Engineer
Singtel16 hours ago
Singapore, SingaporeSenior / Staff+
Responsibilities
- Design, build, optimise, and operate scalable batch and streaming data ingestion, transformation, and serving pipelines.
- Develop pipelines using Databricks, Kafka, PySpark, SQL, Microsoft Fabric, Delta Lake, and related platform components.
- Integrate data from files, APIs, databases, and streaming platforms with source-system owners and consuming teams.
- Build and maintain knowledge bases and retrieval-augmented generation solutions, including storage, lifecycle management, embedding, and vectorisation.
- Monitor and troubleshoot workflows, ensuring data quality, observability, reliability, performance, and resilience.
- Own production readiness for assigned data and AI platform components, including incident triage, root-cause analysis, release coordination, and runbook improvement.
- Provide technical guidance on data-platform patterns, reusable components, code quality, deployment readiness, and production support.
- Maintain metadata and pipeline documentation and apply data governance, security, access-control, compliance, and operational-risk policies.
- Contribute to automation using version control and CI/CD workflows.
Requirements
- 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.
- Experience owning production-grade batch or streaming 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.
- Experience implementing knowledge-base and retrieval-augmented generation solutions for agentic AI use cases.
- Strong understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations.
- Ability to work independently and lead technical discussions with engineers, architects, product owners, source-system teams, and business stakeholders.
- Strong problem-solving, documentation, communication, and attention-to-detail skills.
Benefits
- Opportunities to work on AI, data, cybersecurity, and technology initiatives at Singtel.
- Meaningful work, continuous learning, career acceleration, and real-world impact.
- Registration of interest for current and upcoming opportunities associated with the AIDA Talent Acceleration Day on 23 September 2026.
Tech Stack
Categories
AI ApplicationsData Engineering
About Singtel
Singtel is a Singapore‑headquartered public telecommunications group founded in 1879 that sells mobile, broadband, and enterprise network services to consumers and businesses across Asia-Pacific. It owns Optus in Australia and operates NCS (regional IT services) and Nxera (data centers), and is expanding into AI infrastructure via its RE:AI GPU‑as‑a‑Service. Its revenue comes from connectivity subscriptions and managed services across networks, cloud, cybersecurity, and digital platforms, with equity stakes in regional operators broadening its reach.