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Principal ai data engineer

Sydney
Morgan Mckinley
Posted: 29 April
Offer description

About the job


Principal AI & Data Engineer

Sydney / Fully remote

$190-230k

Permanent

We're partnering with a high-growth technology consultancy building a next-generation Data & AI capability across enterprise and public sector clients.

This is a senior, client-facing role suited to someone who combines deep technical expertise with the ability to engage and influence senior stakeholders.


The Opportunity

You'll play a key role in designing and delivering modern data platforms and AI-driven solutions that create tangible business impact.

Working across a variety of client environments, you'll lead solution design, guide delivery teams, and act as a trusted advisor to senior decision-makers.

This is also an opportunity to help shape and grow a Data & AI practice, contributing to capability development, standards, and go-to-market initiatives.


What You'll Be Doing

* Designing and delivering scalable data and AI solutions in production environments
* Leading architecture across modern data platforms and cloud ecosystems
* Working directly with senior stakeholders to define strategy and translate business needs into technical solutions
* Driving best practices across data engineering, MLOps, and AI delivery
* Mentoring engineers and contributing to capability uplift across the team


What We're Looking For

* Strong experience delivering enterprise-grade data platforms and/or AI solutions
* Hands-on expertise with Python, SQL, and distributed data processing tools (e.g. Spark)
* Experience working with modern data platforms (e.g. Databricks, Snowflake, BigQuery, or similar)
* Cloud experience across AWS, Azure, or GCP
* Proven ability to engage with senior stakeholders and communicate complex ideas clearly
* A consulting mindset with experience working in client-facing environments


Nice to Have

* Experience with MLOps or production machine learning systems
* Exposure to real-world AI applications, including emerging tooling and workflows
* Background working in consulting or advisory environments
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