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.
We’re partnering with a fast-growing Australian technology company that’s transforming a traditional industry through AI, automation, and data-driven products. With strong product-market fit, growing enterprise customers, and ambitious expansion plans, they’re 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.
You’ll sit at the centre of a business where data powers:
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real-time operational workflows,
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AI-driven automation,
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customer analytics,
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computer vision models,
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document intelligence,
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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.
That’s where you come in.
The Opportunity
You’ll join a small, highly collaborative Data & AI team in a genuinely high-ownership role.
You won’t inherit layers of process, large support teams, or narrowly defined responsibilities.
Instead, you’ll become the owner of the company’s “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:
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redesigning real-time data pipelines,
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optimising Snowflake and ETL architecture,
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improving governance and access controls,
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enabling natural-language analytics experiences,
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or building pipelines for OCR, PDF extraction, and computer vision workloads.
This role sits right at the intersection of:
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Data Engineering
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Analytics Engineering
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AI Enablement
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Product Innovation
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Platform Ownership
Why This Role Is Different
The business is specifically looking for someone who can think strategically while remaining deeply hands-on.
You’ll have the autonomy to:
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shape architectural direction,
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influence platform strategy,
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solve real business problems,
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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
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Snowflake
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dbt
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Fivetran
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AWS (S3, Athena, EFS, QuickSight)
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SQL
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Python
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Supabase
Key Focus Areas
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ETL / ELT pipelines
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Real-time data workflows
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Data modelling & governance
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AI-OCR & Document AI
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Computer Vision pipelines
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Customer analytics & BI
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AI/ML data enablement
What You’ll 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 reema@theonset.com.au