Data Engineer — Scam Detection Platform

Singtel Group; Australia; Hybrid; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Optus employee discounts

Flexible working arrangements

On-site campus facilities

Job summary

Optus, a Singtel Group subsidiary in Australia, seeks a Data Engineer to build the data foundation behind next-gen scam prevention. You’ll design scalable platforms, transform vast telecom data into trusted insights, and support ML and analyst work in a security-minded team.

Ideal candidates have 3+ years in data engineering within fraud, AML or risk, with SQL, Python and Delta Lake expertise, and a passion for protecting customers.

Qualifications

• 3+ years designing, building and operating data pipelines at scale.
• Experience in scam prevention, fraud or financial crime domains.
• Translate business needs into reliable data flows and datasets.

Responsibilities

• Build scalable data ingestion pipelines for high-volume telecom events.
• Design Bronze/Silver/Gold Delta Lake architectures for trusted data.
• Develop enrichment pipelines for scam detection and analytics.
• Ensure data quality with automated validation, monitoring and lineage.
• Optimize Databricks and Delta Lake for performance and reliability.
• Implement data governance, access controls and audit logging.

Skills

SQL

Python

Databricks

Spark/PySpark

Delta Lake

Data governance

Tools

Databricks

Delta Lake

Job description

Optus, a Singtel Group subsidiary in Australia, seeks a Data Engineer to build the data foundation behind next-gen scam prevention. You’ll design scalable platforms, transform vast telecom data into trusted insights, and support ML and analyst work in a security-minded team.

Ideal candidates have 3+ years in data engineering within fraud, AML or risk, with SQL, Python and Delta Lake expertise, and a passion for protecting customers.