Business Intelligence Data Engineer

at  Ingenia Communities

You might not have heard about Ingenia before, and we tend to fly under the radar. Once you take a look into our dynamic, incredibly fast growing (ASX 200) business with a culture of creating community you’ll be surprised by all the opportunities you’ll find.
We are a leading Australian property group that own, operate and develop a fast-growing portfolio of Lifestyle communities (land lease communities) and holiday parks across key urban and coastal markets. We employ over 1300 people across 120 parks and communities, with offices in the 3 eastern seaboard states.
Here at Ingenia, you can enjoy working within an organisation that genuinely cares for its people and is committed to creating communities where our residents and visitors can truly belong.
You might not have heard about Ingenia before, and we tend to fly under the radar. Once you take a look into our dynamic, incredibly fast growing (ASX 200) business, with the culture of being a market leader of community lifestyle developments - you’ll be surprised by all the opportunities you’ll find.
Ingenia Communities owns, operates, and develops a fast-growing portfolio of holiday parks and lifestyle (land lease) communities. We employ over 1,500 people across 120 parks and communities, as well as two corporate offices in Brisbane & Sydney.

ABOUT THE ROLE

Join our team in this newly created role as Business Intelligence Data Engineer. You will play a key role in driving high-profile data initiatives and collaborating with various business units and stakeholders. You will also be responsible for developing and maintaining data architecture, data models, and standards for multiple data warehouse projects in Snowflake. This is an opportunity to join a growing IT function and major technology transformation.

KEY RESPONSIBILITIES

• Design, build, and maintain Snowflake data warehouse, ensuring scalability and performance.
• Develop, test, deploy, and automate ETL/ELT solutions using Azure, SQL, REST API connectors, Blob Storage, and Azure Data Factory (ADF).
• Gather and process raw data at scale, including scripting, API invocation, and SQL query development.
• Ensure integration of new features and subject areas with existing structures to maintain a consistent view.
• Maintain documentation of data architecture, data flow, and data warehouse data models for technical and business audiences.
• Project manage tasks and larger workstreams to meet timelines and deliver successful outcomes.
• Uphold data governance, data quality, and master data management standards.
• Collaborate with technical and non-technical stakeholders to gather requirements and ensure effective communication.
• Leverage knowledge and experience with SAAS environments, data architecture, and Microsoft products like Power BI.