Staff / Lead Data Engineer (aws Cloud)

Kit

Melbourne, Australia
Not specified; not specified; not specified
Onsite
Aws cloud expertise
Python and sql proficiency
Data warehouse or data lake experience
You will be part of a team responsible for designing an integrated Corporate Services data platform providing a single source of truth for timely and accurate data

Job Summary

  • You will be part of a team responsible for designing an integrated Corporate Services data platform providing a single source of truth for timely and accurate data.
  • The role involves leveraging the latest AWS technologies including S3, Redshift, Glue, Lambda, and AI services like SageMaker and Bedrock to solve complex data-centric problems.
  • The company offers flexible working options including changing start times, part-time arrangements, and job shares while requiring at least half the time to connect in office.

Matching Summary

You will be part of a team responsible for designing an integrated Corporate Services data platform providing a single source of truth for timely and accurate data.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • AWS Cloud expertise
  • Python and SQL proficiency
  • Data warehouse or data lake experience
  • Full software development lifecycle knowledge
  • Large-scale data processing skills

Nice-to-have

  • Ab Initio ETL tool experience
  • AI model training pipeline knowledge
  • Model Context Protocols (MCPs) usage
  • Peer programming and code review
  • Coaching junior engineers

Key Requirements

  • Experience with Ab Initio preferred
  • AWS Associate or Professional certification
  • Knowledge of Data Vault 2.0 architecture
  • Oracle database experience
  • DevSecOps understanding

Work Rights

Not specified

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