Fraud Data Engineer for Scam Detection & Scalable Pipelines

Singtel Group; Sydney; Hybrid; AUD 110,000 - 150,000; Full time

Benefits offered by this job

Employee discounts

Flexible work arrangement

On-site amenities and campus

Job summary

Optus is seeking a Data Engineer to design and operate scalable data platforms powering scam detection capabilities across telecom event data. You will transform large datasets into trusted insights and collaborate with ML and software teams to deliver data solutions that strengthen customer protection.

The role emphasizes ownership of data quality, governance and secure data handling, with a hybrid work arrangement and competitive benefits.

Qualifications

• 3+ years designing production-grade data ingestion, transformation and orchestration pipelines at scale.

Responsibilities

• Build and maintain scalable data ingestion pipelines processing high-volume telecom event data for Scams Workbench.

Skills

SQL

Python

Databricks

Spark/PySpark

Delta Lake

Tools

Apache Spark

Delta Lake

Job description

Optus is seeking a Data Engineer to design and operate scalable data platforms powering scam detection capabilities across telecom event data. You will transform large datasets into trusted insights and collaborate with ML and software teams to deliver data solutions that strengthen customer protection.

The role emphasizes ownership of data quality, governance and secure data handling, with a hybrid work arrangement and competitive benefits.