Data Engineer – Machine Learning | Financial Services Leader
Location: Sydney CBD Fringe | Type: Permanent | Salary: Competitive + Benefits

Join a high-performing data team within a highly regarded financial services organisation, driving machine learning and advanced analytics initiatives.

About the Company:
Our client is a respected name in financial services, known for their commitment to innovation and data-driven decision making. Their Data & Analytics division is a key strategic focus area, using modern tools and techniques to build scalable solutions with real business impact.

About the Role:
As a Data Engineer, you’ll play a pivotal role in developing and maintaining scalable data pipelines to support both internal analytics and external data sources. You’ll collaborate closely with data scientists and business stakeholders to build robust ML-ready data solutions. This is a fantastic opportunity to work with cutting-edge technologies in a team that values both experimentation and results.

Key Responsibilities:

Build and maintain scalable data pipelines

Integrate external and internal data sources

Support deployment of machine learning models

Work collaboratively across teams including analytics, product, and engineering

Skills & Experience:

Tertiary qualifications in Computer Science, IT or related field

Experience with Snowflake, data modelling and performance tuning

Strong skills in Python for ETL and scripting

Advanced SQL capability

Experience with ML deployment tools such as Docker or Kubernetes

Bonus: Exposure to Streamlit or other Python-based UI tools

What’s on Offer:

Competitive salary and benefits

Hybrid work flexibility

Join a company with a strong reputation and clear vision for the future

Be part of a collaborative, outcome-focused team

Ready to take the next step in your data career? Apply now via Seek with your CV and we’ll be in touch to discuss.