Senior Data Engineer – Real-Time Health Analytics

Helfie.AI; City of Melbourne; On-site; AUD 100,000 - 130,000; Full time

Job summary

A healthcare technology company in Melbourne is seeking a Data Engineer to architect and implement end-to-end data pipelines for its AI-powered preventive healthcare platform. The role involves building scalable ETL workflows, managing data infrastructure, and ensuring data quality and compliance with privacy regulations. Ideal candidates will have 5+ years of experience and expertise in big data frameworks like Spark and DevOps tools. This position offers a unique opportunity to contribute to cutting-edge health technology.

Qualifications

• 5+ years of professional experience as a data engineer or related role in distributed systems.
• Proven expertise in building pipelines with Spark/Beam, Flink, or equivalent big‑data frameworks.
• Strong scripting proficiency in Python, Bash, and/or PowerShell.

Responsibilities

• Engineer scalable, fault‑tolerant ETL/ELT workflows.
• Build and manage data‑centric infrastructure using Terraform and Docker.
• Integrate monitoring and telemetry to surface pipeline health.

Skills

Building data pipelines

Kubernetes

Python

DevOps toolchains

Monitoring systems

Job description

A healthcare technology company in Melbourne is seeking a Data Engineer to architect and implement end-to-end data pipelines for its AI-powered preventive healthcare platform. The role involves building scalable ETL workflows, managing data infrastructure, and ensuring data quality and compliance with privacy regulations. Ideal candidates will have 5+ years of experience and expertise in big data frameworks like Spark and DevOps tools. This position offers a unique opportunity to contribute to cutting-edge health technology.