- Be uniquely you, come as you are
You’re customer focused and passionate about being part of a tribe of great people and you actively contribute to your workplace community.
With a growth mindset, you orient around doing what’s meaningful, purposeful and delivers value. You’re excited about being part of a data-led transformation at one of Australia’s biggest companies.
You’re curious and empathetic. You have an eye for the bigger picture while also ensuring the details are in order. You deal with complexity by collaborating with colleagues, listening to customers, testing ideas and continuously learning. You take authorship for what you create.
Our Chapter combines Data Engineering concepts to deliver data centric systems, products and applications.
Sound good? Read on.
Here is a taster of what you can expect in this role:
Analysis
Work with squad members and business SMEs to understand the requirements including business problem or opportunity, data feed/pipeline requirements, model design, features and/or reporting requirements
Contribute to documentation of requirements and user stories in Jira/Confluence, as required
Delivery
Design, Build and deploy data pipelines required for the relevant initiative - could be to support analytics, reporting, machine learning, data migration and/or data archiving requirements
Document relevant information required for knowledge sharing across the team and for operational support handover
Knowledge sharing amongst the data engineering chapter and squad team members
Collaborate with team and stakeholders to ensure successful delivery
Contribute and adhere to technology standards, data governance & privacy policies and IT security standards
Adhere to corporate governance policies and architecture best practice
Attend/contribute to squad agile ceremonies (e.g. standups, sprint planning etc)
Where required, support ML Engineers to implement and deploy scalable ML models and features (as designed by data scientists), adhering to enterprise CI/CD and devops practices
Where required, support ML Engineers to optimise execution performance (time and cost) of models
Where required, support integration, orchestration and visualisation components.
Operations
Contribute and assist with handover documentation to by used by operations team for new builds/enhancements
3rd level support for incidents relating to productionised data pipelines, Tableau and/or ML models
Comply with the change process and provide inputs, as required, and attend CAB, where required
