Data Engineer for Scam Detection & Fraud Analytics

Optus Enterprise; Australia; Hybrid; AUD 110,000 - 170,000; Full time

Benefits offered by this job

Employee discounts

Flexible/hybrid work

On-site facilities

Parental leave

Wellbeing support

Training and development

Job summary

Optus, a leading Australian telecommunications company, is seeking a Data Engineer to build scalable data platforms powering scam detection capabilities. You will design and operate data pipelines from telecom event data, enabling trusted insights for fraud prevention and customer protection.

The role emphasizes hands-on SQL/Python with Databricks and Delta Lake, and collaboration with ML and software teams.

Qualifications

• 3+ years designing and operating production-grade data pipelines at scale.

Responsibilities

• Build and maintain scalable data ingestion pipelines for high-volume telecom event data.
• Design and manage Bronze, Silver and Gold Delta Lake architectures.
• Develop data transformation pipelines for scam detection and ML models.
• Ensure data quality with validation, monitoring, and schema management.
• Optimize Databricks and Delta Lake environments for scalability and reliability.
• Implement data governance controls including lineage, access, and retention policies.
• Collaborate with ML Engineers, Software Engineers and stakeholders to deliver data solutions.

Skills

SQL

Python

Databricks

Spark/PySpark

Delta Lake

Data pipelines

Data governance

Cross-functional collaboration

Tools

Databricks

Apache Spark

Delta Lake

Job description

Optus, a leading Australian telecommunications company, is seeking a Data Engineer to build scalable data platforms powering scam detection capabilities. You will design and operate data pipelines from telecom event data, enabling trusted insights for fraud prevention and customer protection.

The role emphasizes hands-on SQL/Python with Databricks and Delta Lake, and collaboration with ML and software teams.