Job Description

Senior Data & Analytics Engineer

Own the Data Backbone of an AI-Driven Tech Scaleup

Not every data engineering role gives you the chance to build the engine room.

This one does.

Were partnering with a fast-growing Australian technology company thats transforming a traditional industry through AI automation and data-driven products. With strong product-market fit growing enterprise customers and ambitious expansion plans theyre now looking for a Senior Data & Analytics Engineer to take ownership of their modern data platform.

This is not a maintain the dashboards kind of role.

Youll sit at the centre of a business where data powers:

• real-time operational workflows
• AI-driven automation
• customer analytics
• computer vision models
• document intelligence
• and next-generation AI products.

The foundations are already in place - Snowflake dbt Fivetran AWS - but the business has reached the point where they need someone senior enough to evolve the architecture modernise pipelines and drive the next phase of scale.

Thats where you come in.

The Opportunity

Youll join a small highly collaborative Data & AI team in a genuinely high-ownership role.

You wont inherit layers of process large support teams or narrowly defined responsibilities.

Instead youll become the owner of the companys Data Hub - the core platform powering everything from customer-facing reporting through to AI model training and real-time automation workflows.

One day you might be:

• redesigning real-time data pipelines
• optimising Snowflake and ETL architecture
• improving governance and access controls
• enabling natural-language analytics experiences
• or building pipelines for OCR PDF extraction and computer vision workloads.

Why This Role Is Different

The business is specifically looking for someone who can think strategically while remaining deeply hands-on.

Youll have the autonomy to:

• shape architectural direction
• influence platform strategy
• solve real business problems
• and build solutions yourself.

This is a role for someone who enjoys ownership and wants their work to directly influence product capability AI innovation and business growth.

The Tech Stack

Core Technologies

• Snowflake
• dbt
• Fivetran
• AWS (S3 Athena EFS QuickSight)
• SQL
• Python
• Supabase

What Youll Be Working On

ETL Modernisation

Help redesign current batch-based data architecture into a more real-time capable environment that supports AI automation and operational workflows. Send your resume to

Modern Reporting & Analytics

Drive the next generation of customer-facing analytics and self-service reporting including natural language querying experiences.

Data Governance & Security

Strengthen access controls governance frameworks and platform compliance while improving scalability and operational maturity.

AI & Unstructured Data

Build and optimise pipelines for documents PDFs images OCR and computer vision workloads that directly power AI products.

What Theyre Looking For

Youre likely someone who:

• has strong end-to-end data engineering experience
• enjoys autonomy and ownership
• thrives in startup or scaleup environments
• and is excited by AI-enabled products and unstructured data problems.

You dont need to be an ML Engineer - but you do need to understand how modern AI systems consume and rely on data.

Ideal Experience

• 5 years in Data Engineering / Analytics Engineering
• Strong Snowflake expertise
• Advanced SQL & Python
• Experience designing scalable data architectures
• Exposure to real-time or event-driven pipelines
• Experience with OCR document processing or computer vision pipelines is highly valued
• Strong communication and stakeholder engagement skills

If youre excited by the idea of building a modern data platform at the intersection of AI automation analytics and product innovation - wed love to hear from you.