Senior Data Engineer

  • Senior Data Engineer 
  • Python, SQL, AWS, BigQuery
  • $160k - $200k (package including Super) 
  • Sydney – Hybrid (3 days in office) 
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 of Data Scientists, Analysts and Engineer’s are currently working on a huge legacy system revamp.

This is a chance for a Senior Data Engineer with experience in Banking and Finance to join and help the business replace an existing system responsible for clearing and settlement. You'll be working downstream and upstream and inputting the data into new data products and reporting systems.
 
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  
  • The design and development of ETL pipelines and data warehouses. 
  • Working on large cloud migration in AWS & GCP. 
  • Collaborate with engineers across the group to uplift and streamline environment management by implementing automation capabilities. 
  • Collaborate with enterprise infrastructure teams on driving automation 
  • Reporting and documentation.
Your experience: 
  • Minimum 5 years experience in Data 
  • Python, SQL, AWS, GCP
  • Exposure to Java is a big bonus 
  • Ideally have experience in finance or banking 
  • Strong BigQuery & ETL experience 
  • Effective communication, facilitation, influencing and negotiation skills. 
  • Able to effectively engage with senior members across the business.  
  • Experience with Data modelling.  
If you’re a Senior Data Engineer and you’d like to learn more about this role, then simply click the apply button.
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