Risk Analytics Engineering Lead: Data Platforms

Commonwealth Bank; Melbourne; On-site; AUD 180,000 - 260,000; Full time

Benefits offered by this job

Accessible workplace

Adjustments and support for inclusive/

Job summary

Commonwealth Bank is seeking a hands-on Manager, Risk Analytics Engineering in Melbourne to design and deliver scalable data products and analytics engineering solutions. You will collaborate across Risk, Business, and Technology to build robust data pipelines, models and governance-aware analytics assets.

You’ll lead and coach teammates, establish repeatable engineering practices, and drive automated testing, monitoring and data quality controls across the lifecycle of analytical products to

Qualifications

• Strong data or analytics engineering experience with reliability, governance and business context.
• Ability to influence stakeholders and guide others while staying close to technology.

Responsibilities

• Design, build and maintain scalable data pipelines and transformation frameworks.
• Establish reusable data models and engineering patterns for trusted risk data access.
• Introduce automated testing, monitoring, and data quality controls across the analytics product lifecycle.
• Improve deployment practices with version control, CI/CD, orchestration and repeatable engineering patterns.
• Contribute to cloud migration and platform modernization for scalable solutions.
• Build automation and AI-assisted capabilities to boost analytics productivity while meeting governance.

Skills

Advanced SQL

Python

Data pipelines

dbt

Cloud platforms

CI/CD

Leadership

Stakeholder engagement

Data modelling

Education

Degree in data science / computer science / engineering

Tools

Airflow

Git

Job description

Commonwealth Bank is seeking a hands-on Manager, Risk Analytics Engineering in Melbourne to design and deliver scalable data products and analytics engineering solutions. You will collaborate across Risk, Business, and Technology to build robust data pipelines, models and governance-aware analytics assets.

You’ll lead and coach teammates, establish repeatable engineering practices, and drive automated testing, monitoring and data quality controls across the lifecycle of analytical products to