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Data engineer

Melbourne
Prepverse
Posted: 15 April
Offer description

About the Role

The Senior Engineer designs and delivers end‐to‐end data solutions to support business intelligence and vision making, including critical regulatory and strategic projects. This role works in a multi‐disciplinary squad to source, extract, move and model data, to build data assets and create reporting solutions. The position is a permanent role located at Manyata Tech Park with work hours from 7 AM to 4 PM.

Responsibilities
* Contribute to system and application design aligned with ANZ technical standards.
* Participate in end‐to‐end development, from requirements to secure data delivery.
* Ensure adherence to ANZ Group policies, Information & Insights strategy and regulatory requirements.
* Maintain data quality through governance and control standards.
* Provide timely support for production systems.
* Follow standard change and problem management processes.
* Offer guidance through code reviews and technical leadership.
* Mentor peers and team members to upskill and share knowledge.
Qualifications
* Experience designing and creating end‐to‐end data warehousing solutions with a broad technology stack, including orchestration tools such as Apache Airflow, Spark and Astronomer.
* Strong proficiency in RDBMS platforms, with expertise in query optimisation, indexing strategies, execution‐plan analysis and performance tuning.
* Programming expertise: strong experience in Python following object‐oriented principles.
* Experience with Test‐Driven Development, containerisation, object‐storage solutions, APIs and CI/CD pipelines to enable efficient data solutions.
* Stakeholder engagement and strong problem‐solving skills.
* Ability to constructively challenge existing processes and procedures to drive efficiency and innovation.
* Strong written, verbal and presentation abilities and proven capability to influence and collaborate across teams.
* Demonstrated ability to resolve complex issues independently while thriving in a collaborative team environment.
Additional Advantage
* Exposure to AI concepts and tools for enhancing data‐driven solutions and analytics.
* Exposure to the Astronomer suite of applications.
Must‐have Skills
* Performance tuning
* Automation
* RDBMS
* Coding
* Production management
* Apache
* Business intelligence
* Analytics
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