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About the Role

As a Staff Data Engineer, you will work at the forefront of Product Control technology, delivering critical solutions that support the Bank’s global ambitions. You will lead and guide a team of engineers, collaborating across business and technical stakeholders to deliver a strategic data platform initiative.

Responsibilities

• Design, build, and deliver a new cloud data solution to transform Product Control technology requirements.
• Lead the design and delivery of cost-effective, scalable data solutions aligned with strategic goals.
• Drive solution architecture decisions, ensuring alignment with enterprise architecture principles and business priorities.
• Engineer robust data product assets and pipelines in AWS (S3, Glue, Iceberg, Kinesis, Airflow, Sagemaker, Redshift) that integrate with other applications.
• Provide technical data governance and risk management.
• Lead a team of data engineers, providing technical guidance, reviewing work, and mentoring team members.
• Define and implement engineering standards, including data modelling, ingestion, transformation, and egression patterns.
• Collaborate across teams to ensure secure, efficient, and well-documented solutions.
• Learn and contribute to continuous improvement initiatives within the team.

Requirements

• Experience in designing, building, and delivering greenfield data solutions in AWS Cloud using cloud-native technologies.
• Experience producing data products or data assets with proper data quality assurance and security controls.
• Passionate technology leaders who are hands-on in designing, problem-solving, and taking ownership.
• Strong solution design capabilities, stakeholder engagement, and leadership in technical decisions.
• Excellent verbal and written communication skills.
• Commendable experience in driving cost-effective and technologically feasible solutions.
• Ability to steer solution decisions across the group to meet operational and strategic goals.
• Provides thought leadership and contributes to the design of technical solutions and patterns.
• Ability to engage and manage engineers, internal stakeholders, and external suppliers.
• Problem-solving mindset with a focus on automation and continuous process improvement.

Skills

• Data ingestion
• Data integration
• Data pipeline solutions
• Data Architecture
• Data modelling techniques
• Data governance
• Data lineage
• Technical metadata
• Data quality
• Reconciliation
• Platform efficiency through automation and AI
• AWS Data Stack (EMR, Glue, Redshift, Athena, S3, Lambda, ECS)
• Data Orchestration & Pipelines (Airflow, Dataform)
• Data Formats & Modelling (Iceberg, JSON, XML, CSV)
• Programming (Python, SQL)
• DevOps (Git, GitHub Actions, Unix shell scripting)
• ETL & Ingestion
• Security and Observability (DevSecOps, Artifactory, Observability tooling)
• Solution design
• Technical specifications
• Testing & Automation (test automation frameworks, Jupyter Notebooks)
• CI/CD Tools (GitHub Actions, Team City, Jenkins, Octopus)
• SQL scripting
• Postgres
• Data warehousing
• Teradata
• Oracle
• Visualisation tools (PowerBI, Tableau)
• Automation skills (testing, data ingestion, APIs, file transfers)

Location

• Melbourne
• Perth

Work Type

• Flexible work locations
• At least half their time each month connecting in office
• Changing start and finish times
• Part-time arrangements
• Job share

Experience Level

• Staff

About the Company

• We're the largest and most advanced Data Engineering teams in the country.
• We're building tomorrow’s bank today with world-class engineering.
• Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace.
• We're driven by our values, and supported to share ideas, initiatives, and energy.
• Making a positive impact for customers, communities, and each other is part of our every day.
• We support our people with the flexibility to balance where work is done.