Hybrid Data Engineer – Real‐Time Pipelines & AWS, Sydney

Hybrid Data Engineer – Real‐Time Pipelines & AWS, Sydney

Sydney Temporary 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Ingest and curate data, build APIs, and collaborate with teams to achieve data goals.
  • Company: Join ASX Limited, a leader in critical market infrastructure.
  • Benefits: Enjoy hybrid work, competitive daily rates, and a dynamic team environment.
  • Other info: Be part of a community focused on standards and automation.
  • Why this job: Make an impact in real-time data engineering using AWS and Kafka.
  • Qualifications: Hands-on experience with AWS data services and real-time streaming required.

The predicted salary is between 121500 - 148500 $ per year.

ASX Limited is seeking a Data Engineer for a daily rate contract in Sydney, hybrid work.

You will ingest and curate core data assets, build consumable data products and APIs, and collaborate with business teams to meet data objectives.

You will operate within an engineering community focused on standards and automation in a critical market infrastructure environment.

The role requires hands-on AWS data services experience, data modelling, and real-time streaming with Kafka.

Hybrid Data Engineer – Real‐Time Pipelines & AWS, Sydney employer: ASX Limited

Joining ASX means becoming part of a leading global securities exchange that champions diversity and inclusion, fostering a workplace where every employee can thrive. With a commitment to employee growth, ASX offers a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative culture that celebrates innovation and integrity. Located in Australia, ASX not only powers the financial markets but also provides a supportive environment for its employees to make a meaningful impact.

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Contact Details:

ASX Limited Recruitment Team

We think you need these skills to ace Hybrid Data Engineer – Real‐Time Pipelines & AWS, Sydney

Problem-Solving Skills
Automation
SQL
Python
Communication Skills
Data Pipeline Development
Data Engineering