Senior Data Engineer

Posted: 11/08/2025

Closing Date: 08/09/2025

Job Type: Contract

Location: Head Office - Collingwood

Job Category: Banking and Financial Services

Through the merger of Bank Australia and Qudos Bank we're creating a better, stronger and more resilient bank for our customers and employees. As one company with two trusted brands, we're building on the strong foundations of our history and shared values as we bring together the best of both banks.

We currently have a one year, fixed term full-time opportunity for a Senior Data Engineer to join our professional and highly engaged Data Analytics & Insights department within our growing Transformation division. This role will be based our Collingwood Head Office

Reporting directly to the Manager of Data Engineering, the Senior Data Engineer will be instrumental in enhancing our data and analytics capabilities across the organisation.

This role focuses on enterprise data engineering across Databricks technology and involves close collaboration with various business units and functions within the Bank to understand, capture, detail, and articulate requirements for our data initiatives.

Why join us

• We have big plans to become Australia's leading purpose-driven bank.
• As a certified B Corp, we're part of a global business community who meet the highest social and environmental standards, balancing profit and purpose.
• Every role and person in our bank is essential to bringing our values, purpose and aspiration to life.
• We offer flexible working options, competitive salary and 13% super.
• Our staff have access to a range of meaningful benefits to support their physical and mental wellbeing including 24/7 free counselling, free flu vaccinations and discounted gym memberships.
• We also support staff with study assistance, paid parental leave (regardless of gender), volunteer, bereavement, gender affirmation and family violence leave; and the opportunity for bonus annual leave.
• We support our staff to grow their careers through learning and development and an organisational culture where we reward and recognise innovation and values, not long hours.
• We are committed to building an inclusive culture and a diverse workforce that reflects the Australian community.
• We care for a conservation reserve – where we work with key partner organisations to protect threatened species and involve staff in conservation.

What you will be doing

• Support the development and enhancement of the organisation's Azure databricks platform which is used in the creation and delivery of data analytics products and services
• Partner with IT Infrastructure, Security, and technical teams to implement and maintain the Terraform IaC codebase, ensuring efficient provisioning and management of Azure resources for the Data Team.
• Contribute significantly towards the design and establishment of the organisation's data engineering best practices, automation and operating model
• Partner with architects to ensure data engineering perspectives are integrated into enterprise-wide data architecture design and build discussions.
• Promote and implement modern Azure cloud data engineering practices.
• Participate in the design and delivery of the enterprise data lakehouse frameworks across metadata management, quality assistance, logging and monitoring.
• Champion the development and implementation of data engineering best practices, automation processes, and the operating model within the organization.
• Provide technical support to other Data Engineers across the team.

What you will bring

• Experience in data engineering within a complex commercial organisation's data warehousing environment with Microsoft Azure Databricks, Azure Data Factory, Synapse, Azure Key Vault, Data Lake, Python/PySpark programming.
• Advanced knowledge and experiences with Azure data landing zone design and architecture, network and data security, and RBAC based IAM management practice.
• Knowledge and experience with Terraform IaC for provisioning Azure data engineering resources is a big plus
• Extensive knowledge and experiences with Azure DevOps repository, code branching and Azure DevOps YAML pipelines for engineering artefacts auto deployment and
• Strong SQL capabilities in integrating diverse data sets into cohesive and functional analytics platforms, ensuring data quality and accessibility for stakeholders
• A collaborative working style that is steadfast and approachable
• Hands-on experiences in designing and building metadata driven frameworks, pipeline QA, logging, monitoring and auto alerting frameworks for cost –effective, reliable, repeatable, fault-tolerant data engineering pipeline architecture and frameworks
• Team player, collaborative and willing to share knowledge and mentor other engineers
• Bachelor's degree in Statistics, Mathematics, Computer Science, Information Management or similar
• Commitment to Bank Australia's purpose, aspiration, values and brand as well as the B Corp ethos.

By submitting an application you agree to Bank Australia's Privacy Policy for applicants and confirm that you are legally able to work in Australia. Bank Australia is an equal opportunity employer committed to sustainable development. We encourage people from different backgrounds to apply, including Aboriginal and Torres Strait Islander people, people from different cultural backgrounds and people with disabilities because we want to reflect the diversity of our communities. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive workplace.

Bank Australia reserves the right to withdraw this advertisement at any time. Candidates will be progressed as applications are received, rather than after the advertisement closure date. If you wish to be considered, please submit your application as soon as possible. Please note, the successful candidate will be subject to satisfactory background checks including but not limited to police and previous employment.