AI-Driven Data & Customer Intelligence Engineer

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

Job summary

Singtel is hiring a data engineering/analytics professional to design and operate data pipelines that ingest customer behavior, performance, and telemetry from multiple sources. You will build dashboards and analytic models to deliver actionable insights into service quality, customer journeys and feature adoption.

Leverage AI/ML techniques to detect patterns and proactively manage incidents, while ensuring data governance and trusted reporting across teams.

Qualifications

• Degree in Data Science, Computer Science, Information Technology, Engineering, Statistics or a related discipline.
• Strong experience in data engineering, data analytics, BI, or related tech roles.
• Proficient in SQL and Python for data analysis/engineering.
• Experience building data pipelines and integrating multiple data sources.
• Experience with BI/visualization tools such as Power BI or Tableau.
• Knowledge of cloud data services, preferably AWS, and AI-enabled analytics.

Responsibilities

• Design, build and maintain reliable data pipelines integrating customer behaviour, performance, and telemetry data from multiple sources.
• Develop dashboards and models providing actionable insights into service quality and customer journeys.
• Apply AI/ML techniques to identify patterns and predictive insights for proactive service management.
• Correlate technical performance with customer impact to prioritise improvements.
• Collaborate with Product, Engineering and Ops to translate data into measurable outcomes.
• Define and monitor data quality metrics and ensure trusted reporting across stakeholders.
• Automate data preparation and reporting workflows to improve speed and scalability.

Skills

SQL

Python

Data pipelines

Business intelligence

Data analytics

Cloud computing

Observability/Monitoring

Education

Degree in Data Science/CS/IT/Engineering/Statistics

Tools

Power BI

Tableau

AWS

Job description

Singtel is hiring a data engineering/analytics professional to design and operate data pipelines that ingest customer behavior, performance, and telemetry from multiple sources. You will build dashboards and analytic models to deliver actionable insights into service quality, customer journeys and feature adoption.

Leverage AI/ML techniques to detect patterns and proactively manage incidents, while ensuring data governance and trusted reporting across teams.