Principal AI Data Engineer

    SydneyPermanent$180k - $220k
    Back to job search
    2 hours ago
    JN -042026-2000418
    New

    Principal AI Data Engineer

    Sydney Permanent $180k - $220k Remote

    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