Data Engineer
Sydney, NSW, Australia
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Colonial First State
We've helped over 3 million Australians achieve financial freedom in retirement. Unleash your second half.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 Technology, Transformation and Operations (TTO) division is charged with transforming CFS through end-to-end delivery of technology-enabled programs and projects. TTO 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 Enterprise Systems and Business Applications domain, a high-impact team with accountability spanning Corporate Platforms and the Data Services.
Your Responsibilities
As a Data Engineer, you will help 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 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.
- 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 relevant experience in designing, building and managing scalable, secure and high-performance data platform
- Understanding of cloud-based data engineering principles and modern data platform architectures.
- Experience with Azure Databricks, Databricks Unity Catalog, Azure Data Factory, ADLS and Azure Functions.
- Experience in Data Model implementation.
- Proven ability to develop and manage CI/CD pipelines (Azure DevOps/GitHub), Terraform for application deployments.
- Skilled in Python, PySpark, DataFrames 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 (RBAC), governance, and compliance in cloud environments.
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).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure CI/CD Databricks Data warehouse DevOps Engineering GitHub Pipelines PySpark Python Security SQL Terraform Testing
Perks/benefits: Flex hours Health care Medical leave
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