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 AI & Data division is charged with transforming CFS through end-to-end delivery of data programs and projects. AI & Data closely works across the whole of CFS to bring together the capabilities needed to deliver change that matters to our customers and to our people. This role is part of the Group Data & Analytics domain, a high-impact team with accountability spanning across the Enterprise Data Platform.

As a Lead Engineer, you will be empowered to design, implement, and maintain CFS’s data platform infrastructure; to support reliable, scalable, and efficient data processing across various business units.

Your role will provide technical strategy and solutions to enhance our data engineering capabilities, ensuring high availability, performance, and security of our data environments.

Resolve any challenges using domain knowledge and contribute to engineering outputs to a production level quality, through the production of code artefacts.

This role combines operational responsibilities with a focus on enhancements, supporting the platform by enabling robust data engineering solutions to drive insight and decision-making capabilities across the organisation.





Provide technical advice via code reviews, technical guidance and training.

Collaborate with Project teams to review and guide code changes, ensuring alignment with best practices and architectural standards.

Produce engineering outcomes that meet the teams Ways of Working including all documentation, unit testing coverage, code within quality scores, completing acceptance target.

Alignment to technology frameworks and processes agreed by the team that are used within the engagement.

Ensuring the security of the data in the data lakehouse. This would involve setting up and maintaining proper access controls, encryption, and other security measures.

Collaborating with stakeholders across the organisation to understand their data requirements and ensure that the data warehouse meets their needs.

Your Capability and Experience

Proven experience as a data engineer with strong experience in designing, building and managing scalable, secure and high-performance data platform

Robust understanding of cloud-based data engineering principles and modern data platform architectures.

Extensive hands‑on expertise with Databricks, Fabric, Terraform, and Azure cloud infrastructure, including Infrastructure as Code (IaC) and disaster recovery management.

Data Capabilities: ETL Development, Warehouse development, Data Modelling, Warehouse Modelling, Data Management

Data Concepts: Hadoop, Data lakes, Warehouse Modelling (e.g. Relational, Data Vault etc) ODS, Real‑time analytics, Data Governance and Management Frameworks

Programming Languages: SQL, Python, Java, SCALA

Proven ability to develop

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📌 Lead Engineer (Sydney)
🏢 Davidson
📍 Sydney