Shape a trans-Tasman Agentic AI MVP from the ground up. 3-month contract, hybrid flexibility, Microsoft Fabric stack, and great hourly rates!
Why You’d Like It
Imagine stepping into a contract where you aren't just maintaining old pipelines, but actually laying the data foundations for a cutting-edge Agentic AI MVP. This 3-month contract gives you the keys to architect a high-growth data structure from the ground up, working with a premium tech stack across a powerhouse trans-Tasman network.
The Story
With a massive footprint across New Zealand and Australia, three leading real estate brands are joining forces to revolutionise how they operate. They are launching an ambitious AI initiative to drive cross-border scalability, and they need a sharp data specialist to get the engine room ready for action.
Company Profile
This group represents some of the most respected names in property and real estate across Australasia. They are combining their market clout to build future-proof digital capabilities, fostering an innovative, forward-thinking environment where data security and smart architecture take centre stage.
Your Role
As the go-to Data Engineer, you will guide the team through the unknowns of this MVP, advising on data requirements while building out a scalable Medallion architecture. You’ll be taking a mix of existing SQL data and fresh sources to ensure everything is highly optimised for advanced AI usage.
You are a seasoned Data Engineer who thrives in the early, ambiguous stages of a project and loves giving architectural direction. You have deep expertise in the Microsoft stack (Fabric, SQL, Azure) and a solid understanding of how to structure data so AI models can actually use it effectively.
Reach out or apply today for more info!
Imagine stepping into a contract where you aren't just maintaining old pipelines, but actually laying the data foundations for a cutting-edge Agentic AI MVP. This 3-month contract gives you the keys to architect a high-growth data structure from the ground up, working with a premium tech stack across a powerhouse trans-Tasman network.
The Story
With a massive footprint across New Zealand and Australia, three leading real estate brands are joining forces to revolutionise how they operate. They are launching an ambitious AI initiative to drive cross-border scalability, and they need a sharp data specialist to get the engine room ready for action.
Company Profile
This group represents some of the most respected names in property and real estate across Australasia. They are combining their market clout to build future-proof digital capabilities, fostering an innovative, forward-thinking environment where data security and smart architecture take centre stage.
Your Role
As the go-to Data Engineer, you will guide the team through the unknowns of this MVP, advising on data requirements while building out a scalable Medallion architecture. You’ll be taking a mix of existing SQL data and fresh sources to ensure everything is highly optimised for advanced AI usage.
- Architect and implement a clean Medallion data structure using Microsoft Fabric, Data Lakes, and Data Warehouses.
- Modernise existing SQL data structures and seamlessly integrate them with Azure API Management and Azure Foundry.
- Provide strategic technical guidance on capacity planning, scalability, and MVP use cases as decisions are made.
- Bake robust security and permission frameworks into the data layer from day one.
- Competitive Hourly Rate: Great contracting rates on offer for top-tier talent.
- Hybrid Working: Enjoy a healthy balance of working from home and collaborating in a central office.
- Cutting-Edge Stack: Hands-on ownership of Microsoft Fabric and Azure Foundry in a live AI project.
- Massive Impact: The chance to build a framework that will scale across three major trans-Tasman businesses.
You are a seasoned Data Engineer who thrives in the early, ambiguous stages of a project and loves giving architectural direction. You have deep expertise in the Microsoft stack (Fabric, SQL, Azure) and a solid understanding of how to structure data so AI models can actually use it effectively.
Reach out or apply today for more info!
Like the sound of that?
If this sounds like you please reach out to me at
kate@digitalgarage.co.nz
kate@digitalgarage.co.nz