Data Operations Engineer

  • Senior Data Operations Engineer
  • Python, SQL, AWS or GCP
  • $150k - $180k (inclu Super) + Bonus + Stock options
  • Sydney – Hybrid
How does joining a pillar of Australia’s economy sound? How about the opportunity to work on a big project that will keep you pushing boundaries with huge scope for growth?
  
We are currently working with one of Australia’s leading financial institutions whose talented team are currently working on a huge legacy system revamp.
  
This is a chance for a Senior Data Operations Engineer to design, implement, maintain and automate scalable datasets and pipelines in either AWS or GCP stack. You'll be responsible for operations processes and incident management maintaining a smooth running platform.
  
This organization also promote organic growth within, with real sense of culture and community, therefore the scope for growth and longevity is clear.
  
The Role & Responsibilities
  • Designing and developing datasets and pipelines
  • Platform management
  • Change and problem management
  • Collaborating with cross-functional teams
  • Design, build and monitor performance
Your experience:
  • Minimum 5+ years experience in Data
  • Python, SQL
  • Strong AWS or GCP stack experience
  • Ideally have experience in finance or banking
  • Effective communication, facilitation, influencing and negotiation skills.
  • Able to effectively engage with senior members across the business.
If you’re a Senior Data Operations Engineer and you’d like to learn more about this role, then simply click the apply button.
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