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Staff Data Engineer

Melbourne, Victoria💼 Full-time🗓 2026-09-17 → 2026-09-26

Core

Hands-on technical authority for data engineering delivery, operations, and platform reliability, translating architecture into scalable solutions.

Role type

Staff Data Engineer (hands-on IC with technical leadership)

Builds

Scalable data platforms, pipelines, and data products on Snowflake and AWS

Domain

Cloud data engineering and platform modernization

Deliverable

production ML models | product features | infrastructure

Required skills

Cloud data platforms (Snowflake, AWS), Data pipeline orchestration (Airflow, Kafka, Spark), Infrastructure as Code (Terraform, CloudFormation), Python, SQL, CI/CD, DevSecOps, Data governance and lineage, Distributed data processing, Agentic development frameworks

Preferred skills

Coaching and mentoring engineers, Leading distributed teams, Self-service platform design, AI-assisted development practices

Technologies

Snowflake, AWS, Airflow, Kafka, Spark, dbt, Python, SQL, Terraform, CloudFormation

Responsibilities

Lead end-to-end engineering delivery of data platforms and pipelines; Translate architectural direction into scalable solution designs; Contribute directly to code development, testing, and production support; Enforce engineering standards (CI/CD, observability, DevSecOps); Act as primary escalation point for technical and operational issues; Guide local and offshore engineers on complex problems; Maintain operational reliability and drive root-cause analysis; Embed data governance, security, and privacy controls into solutions; Support strategic platform modernization and migration initiatives.

Seniority

Staff, hands-on IC with technical leadership

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