Lead Engineer

Posted 3 Hours Ago
Be an Early Applicant
3 Locations
In-Office
Expert/Leader
Fintech • Software • Financial Services
The Role
Lead the design, implementation, maintenance, and security of CFS’s scalable data platform infrastructure. Develop data engineering solutions, ETL processes, warehouses, ingestion patterns, and CI/CD pipelines using Azure, Databricks, Fabric, Terraform, Python, and SQL. Provide technical strategy, code reviews, guidance, documentation, testing, and stakeholder collaboration while ensuring performance, governance, compliance, disaster recovery, and reliable data delivery across the organisation.
Summary Generated by Built In

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.

 

Your Responsibilities

  • 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

  • Strong 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.

  • Azure solution design, Azure consumption modelling

  • 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

  • Azure Ecosystem: Services, cloud infrastructure, Azure DevOps, Azure CLI, Azure Portal, Azure Resource Manager, Azure Security, Automation and Monitoring

  • Programming Languages: SQL, Python, Java, SCALA

  • Proven ability to develop and manage CI/CD pipelines (GitHub) for infrastructure and application deployments.

  • Skilled in Python and SQL for data engineering, including reusable libraries and scalable ingestion patterns

  • Familiarity with data orchestration and large-scale ingestion patterns

  • Knowledge of data security, governance, and compliance in cloud environments

  • Knowledge of medallion architecture in Databricks is desirable 

 

 

 

 

 

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:

  • Additional day for your birthday
  • Hybrid working model 
  • Access to CFS Employer Super
  • Life Leave - 3 days per annum
  • Access to Sonder who provides human-powered medical, mental health and safety support through one easy-to-use app enabling you to get support whenever and wherever you need. 
  • Access to Corporate rates with BUPA Health Insurance
  • Confidential coaching and counselling services supporting life, mind, body, relationships, work and family to assist you in taking charge of your own health and wellbeing

 

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).

 

 





Skills Required

  • Proven experience as a data engineer designing, building, and managing scalable, secure, high-performance data platforms
  • Strong understanding of cloud-based data engineering principles and modern data platform architectures
  • Hands-on expertise with Databricks, Microsoft Fabric, Terraform, and Azure cloud infrastructure
  • Experience with Infrastructure as Code and disaster recovery management
  • Azure solution design and Azure consumption modelling experience
  • Experience with ETL development, warehouse development, data modelling, warehouse modelling, and data management
  • Knowledge of Hadoop, data lakes, relational and Data Vault modelling, ODS, real-time analytics, and data governance frameworks
  • Experience with Azure services, cloud infrastructure, Azure DevOps, Azure CLI, Azure Portal, Azure Resource Manager, Azure security, automation, and monitoring
  • Programming experience with SQL, Python, Java, and Scala
  • Proven ability to develop and manage GitHub CI/CD pipelines for infrastructure and application deployments
  • Skilled in Python and SQL for data engineering, including reusable libraries and scalable ingestion patterns
  • Familiarity with data orchestration and large-scale ingestion patterns
  • Knowledge of data security, governance, and compliance in cloud environments
  • Knowledge of medallion architecture in Databricks
  • Full work rights in Australia
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The Company
HQ: Sydney, New South Wales
1,509 Employees

What We Do

We’ve helped over 3 million Australians and counting. We provide superannuation, investment and retirement products to members as well as to corporate and superannuation fund investors. Our wide range and investment management expertise spans Australian and global shares, property, fixed interest, credit, hedge funds, infrastructure and private equity. The privacy of your personal information is important to us. We will handle all personal information collected in accordance with applicable privacy laws and our privacy policy and collection statement which can be accessed here www.cfs.com.au/privacy. If you have any questions in relation to our privacy practices or would like to request a copy of our privacy policy please contact us on 13 13 36. Avanteos Investments Limited ABN 20 096 259 979, AFSL 245531 (AIL) is the trustee and issuer of super and pension products. Colonial First State Investments Limited ABN 98 002 348 352, AFSL 232468 (CFSIL) is the issuer and Investor Directed Portfolio Services (IDPS) operator and administrator of investment products. Information on this social media may include general advice but does not consider your individual objectives, financial situation, needs or tax circumstances. You can find the target market determinations (TMD) for our financial products at www.cfs.com.au/tmd, which include a description of who a financial product might suit. You should read the relevant Product Disclosure Statement (PDS), Investor Directed Portfolio Service Guide (IDPS Guide) and Financial Services Guide (FSG) carefully, assess whether the information is appropriate for you, and consider talking to a financial adviser before making an investment decision. You can get the FirstChoice PDSs and the FSG from www.cfs.com.au or by calling 13 13 36 and FirstWrap PDSs, FSGs and IDPS Guides from www.firstwrap.com.au or your adviser.

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