Data Engineer

About the role

As a Data Engineer at Magentus, you will own the reliability, quality, and governance of the internal data platform. You will design, build, and improve data pipelines, introduce observability and automation, and help create a trusted, self‑service data environment that scales with the business.

Key responsibilities

• Ensure pipeline reliability so data lands correctly and issues are detected early.
• Embed data quality, validation, and testing directly into pipelines.
• Provide observability, monitoring, alerting, and lineage documentation.
• Enable self‑service access for analysts and product teams.
• Leverage AI‑driven tools such as Claude to improve development and troubleshooting.

Required profile

• 3‑5+ years of experience in data engineering or a related software engineering role with significant data responsibility.
• Hands‑on experience building and supporting production data pipelines using SQL and Python.
• Practical experience with Databricks in a production environment.
• Ability to work with both technical and non‑technical stakeholders.

Required skills

• SQL
• Python
• Databricks
• AWS
• GitHub
• CI/CD pipelines
• AI‑assisted development tools

What we offer

• Real impact on products used by thousands of clinicians.
• Influence over building a new data capability.
• Mature engineering environment with established product, architecture, security, and platform teams.
• Opportunities to develop AI‑driven coding solutions.
• Hybrid, Brisbane‑anchored work with genuine flexibility.
• Support for professional growth, learning, conferences, and certifications.
• Values‑led culture emphasizing care, resilience, teamwork, evolution, and trust.