Data and ML Engineering Lead

Job Description
Are you ready to be part of an organisation that values expertise, passion and diversity? At CFS we know that the foundation of our success lies in our exceptional people. We believe in celebrating individuality, have a passion for high performance and creating an environment where you can unleash your full potential. Our people enable us to make a difference and deliver exceptional experiences to help our customers achieve financial freedom.

Your Team
The Data Science and Engineering team is part of CFS' Customer Office, which is accountable for our customer's experience of the brand, products and services. The Data and ML Engineering lead reports to the Director, Data Science and Engineering and is accountable for building robust, automated, and production-grade data systems. This role is ideal for someone who combines technical excellence with a strong understanding of business needs, and who can deliver hands-on solutions.

Your Responsibilities

• Design, implement, and maintain CI/CD pipelines for data and ML workflows on Databricks, ensuring repeatability, testing, and automation.
• Establish and enforce MLOps and DataOps best practices, including model lifecycle management, deployment automation, and monitoring.
• Build and optimize data quality frameworks and data control mechanisms, including validation, lineage, and anomaly detection.
• Collaborate with business stakeholders to understand data requirements and translate them into scalable, production-ready solutions.
• Develop and maintain observability and alerting for data pipelines and ML models using tools like MLflow, Datadog, or Prometheus.
• Work hands-on in Databricks to build, test, and deploy data pipelines, notebooks, workflows, and integrations.

Your Capability And Experience

• Extensive experience in data engineering, ML engineering, or DevOps roles.
• Proven, hands-on experience with Databricks, including Delta Lake, Unity Catalog, Workflows, and MLflow.
• Strong knowledge of CI/CD tools (e.g., GitHub Actions, Azure DevOps, Jenkins) and automation practices.
• Deep understanding of data quality controls, validation frameworks, and governance principles.
• Exceptional SQL and Python skills and phenomenal attention to detail.
• Prior experience leading a team of data and/or ML engineers will be highly regarded.

What To Expect
At CFS, you'll be working among the very best in the wealth management industry. It's an inspiring environment that encourages development and celebrates success. Other things to look forward to:

• Access to CFS Employer Super, which offers an expansive investment menu and flexible insurance solutions
• Support with financial services, including discounts on home loans and daily bank accounts through our partnership with a leading financial institution
• Access to 24/7 confidential support covering safety, medical and mental health services
• Life Leave - 3 days per annum to focus on your wellbeing or celebrate a special event
• Exclusive discounts on retail, travel and entertainment
• Additional leave day to celebrate your birthday

CFS Culture
At CFS we are committed to creating a thriving environment where individuals can flourish. We believe that success is built upon strong teams, and we are dedicated to celebrating uniqueness, championing individuality and supporting a diverse and inclusive workforce. We believe that when you can truly be yourself, you can unlock your full potential.

Apply today and join us in helping Australians to achieve their financial freedom.

Please note, CFS requires all candidates to have full work rights in Australia.

Where we have preferred candidates, background checks (including Police, Employment, Bankruptcy checks, ASIC banned and disqualified persons) will be completed prior to the final preferred candidate's employment being confirmed. The outcomes of the background checks do not preclude the preferred candidate, however, they will be assessed against the inherent requirements of the role.
This role is based on Gadigal Land (Sydney).