Service Owner: Advanced Credit Risk Modeling & Data

Westpac Group; Sydney; On-site; AUD 133,000 - 147,000; Full time

Benefits offered by this job

Competitive Salary

Career Growth

Cross-region exposure

Health Benefits

Flexible work

Job summary

TMGM is seeking a Senior Data Engineer to design and enhance our high-throughput data ecosystem in Sydney, working with real-time analytics and financial datasets. You will implement scalable ETL/ELT pipelines, and real-time streams using Kafka, RabbitMQ, and Airflow, while enabling efficient data access via ClickHouse.

This hands‑on role focuses on engineering excellence within a regulatory financial context.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in data engineering with ETL/ELT in cloud environments.
• Experience in Finance or Trading tech with real‑time data processing.
• Strong Python and SQL skills for robust, scalable data pipelines.

Responsibilities

• Design, develop, and improve scalable, fault‑tolerant ETL/ELT pipelines.
• Build and maintain real‑time messaging and stream processing with Kafka and RabbitMQ for sub‑second data availability.
• Work with ClickHouse to optimise schema designs, indexing, and query performance for large datasets.
• Deploy and maintain data services in cloud environments with security controls and governance.

Skills

Python

ETL/ELT pipelines

SQL

Education

Bachelor’s or Master’s in CS/Engineering or related field

Tools

Kafka

RabbitMQ

Airflow

ClickHouse

Cloud environments

Job description

TMGM is a leading provider of online trading and investment services, with a global presence and a strong reputation as a trusted CFD trading provider.

We are committed to delivering an exceptional trading experience through robust regulatory standards, innovative technology, competitive trading conditions, and high‑quality client service. By continuously investing in our trading infrastructure, liquidity solutions, and platform capabilities, we aim to provide our clients with reliable and efficient access to global financial markets.

At TMGM, we foster a collaborative and fast‑paced environment where teams work closely together to enhance operational efficiency, strengthen risk controls, and support the continued growth of the business.

About the role

We are looking for a Senior Data Engineer to play a key technical role in building and enhancing our high‑throughput, real‑time data ecosystem. You will be responsible for designing scalable and reliable data solutions and supporting the ongoing evolution of our data infrastructure, leveraging technologies such as Kafka, RabbitMQ, Airflow and ClickHouse to power mission‑critical financial analytics.

This is a hands‑on individual contributor role, rather than a people‑management position. You will work closely with a small, collaborative Data team across Sydney and Mainland China, translating complex business requirements into practical, high‑performance engineering solutions.

Strong hands‑on Python and SQL capabilities are essential, with the ability to independently develop, troubleshoot and optimise data pipelines in a real‑time environment.

Responsibility

• Design, develop, and improve highly scalable, fault‑tolerant ETL/ELT pipelines.
• Build and maintain real‑time messaging and stream processing solutions using Kafka and RabbitMQ to ensure sub‑second data availability.
• Work with ClickHouse to optimise complex schema designs, indexing, and query performance for large‑scale financial datasets.
• Deploy and maintain data services in cloud environments, implementing security controls and data governance standards required for the finance industry.
• Work with business stakeholders and senior leadership to understand business objectives and translate them into practical data solutions. Support fellow data engineers through code reviews and technical guidance.
• Implement monitoring and automated recovery systems to maintain the integrity and quality of critical financial data.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in data engineering, with a strong background in designing and implementing ETL processes within cloud environments.
• Experience within the Finance or Trading technology sector, with a proven track record of handling real‑time market or transactional data.
• Strong programming skills in Python, with experience in developing robust, maintainable, and scalable data processing pipelines.
• Extensive SQL knowledge and experience.
• Excellent problem‑solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills, with the ability to convey complex technical concepts to non‑technical stakeholders.

Benefits

• Competitive salary and performance‑based bonuses.
• Opportunities for career growth and development within a global company.
• Collaborative and inclusive work environment with exposure to cross‑region operations.
• Health and wellness benefits.
• Flexible working arrangements.

Temporary (up to January 2028) full‑time (35 hours per week) opportunity, office location based in Harrington Street, The Rocks with flexible working supported. Salary relative to experience, and ranges from $133,348 to $146,945 + super