About us

Ending homelessness is possible, but it is a shared responsibility that requires a collaborative effort across all levels of government and society to ensure we have adequate housing, appropriate health services and support services available to those who need it the most.

The Australian Alliance to End Homelessness has developed a 10-year strategy to end homelessness through a whole of community-based response. The Strategy outlines five core areas and nine targets to prevent, respond to and end homelessness in Australia.

A core part of this strategy is the AAEH AtoZ database, a suite of collaborative tools that allow frontline workers across communities to work together on, and measure efforts to end homelessness. The Data Engineer will play a critical role in designing, building, and maintaining the data infrastructure that underpins the AAEH AtoZ database, ensuring data is reliable, accessible, and supports evidence-based decision making across Australia.

What we offer

• This position is offered on a fixed-term, 12-month contract.

• The role may be undertaken on a remote or hybrid basis, with candidates required to be based in South Australia, Victoria, or New South Wales.

• Flexible working arrangements are negotiable, including condensed work weeks and adjusted start or finish times.

• Generous leave entitlements, including 5 weeks of annual leave.

• Salary Packaging benefits up to $15,899 per annum.

• Be a part of the National movement to end homelessness in Australia.

Key Responsibilities include:

Data Engineering & Architecture

• Design, build, and maintain scalable data pipelines to support the AAEH AtoZ database and associated systems.

• Develop and manage data integration processes across multiple internal and external data sources.

• Ensure data quality, integrity, and consistency across platforms.

Data Platform Development

• Develop and maintain data models, data warehouses, and data lakes to support reporting and analytics.

• Optimise data storage and retrieval processes for performance and scalability.

• Support integration with Microsoft data technologies and platforms where applicable.

Software Development Lifecycle

• Work with the National Database Lead to translate business and user requirements into data solutions.

• Lead data engineering activities including development, testing (unit, integration, UAT), and deployment.

• Maintain version control and contribute to CI/CD processes.

Data Management & Governance

• Implement and maintain data governance practices, including data security, privacy, and compliance controls.

• Monitor data pipelines and troubleshoot issues to ensure platform reliability.

• Establish best practices for data lifecycle management.

Reporting & Insights Enablement

• Support analytics and reporting capabilities by preparing curated datasets for dashboards and visualisation tools.

• Collaborate with stakeholders to ensure data supports operational and strategic decision-making.

Documentation & Continuous Improvement

• Maintain technical documentation, including data models, pipelines, and architecture.

• Continuously improve data processes, performance, and reliability.

The successful candidate will have:

• Tertiary qualifications in Information Technology, Computer Science, Data Engineering, or a related discipline.

• Demonstrated experience (typically 3–5+ years) in data engineering or a similar role.

• Strong experience building and maintaining data pipelines and working with large datasets.

• Proficiency in SQL and experience with data modelling and database design.

• Experience with ETL/ELT processes and modern data architectures.

• Familiarity with cloud-based data platforms and tools.

• Experience preparing data for reporting and analytics (e.g. Power BI or similar tools).

• Strong problem-solving skills with attention to data quality and detail.

• Experience with version control and development practices (e.g. Git, CI/CD pipelines).

• Ability to communicate technical concepts clearly to non-technical stakeholders.

• Experience working in Agile environments.

• Understanding of data governance, privacy, and security best practices.

• Highly developed organisational skills with the ability to manage competing priorities.

• The ability to cope with and embrace change, risk, and uncertainty.

• Strong collaboration skills and the ability to work across multidisciplinary teams.

• Willingness to embrace and actively support the unique culture and values of working in a collective impact space.

• A passion for justice and working collaboratively to end homelessness.

• A knowledge of housing and homelessness systems would be an advantage.

We encourage applications from individuals who identify as Aboriginal or Torres Strait Islander and/or Lived or Living experience. Employment with AAEH is subject to satisfactory background checks, including a National Police Check and Reference Checks.

How to Apply:

A copy of the full job description can be found on our website
https://aaeh.org.au/assets/docs/JDFs/JDF-Data-Engineer-May2026.pdf

Your application must include a letter or statement addressing the key responsibilities and relevant qualifications/experience. Applications will be assessed and shortlisted as they are received.

Applications close: COB Friday 19 June 2026, if not before.

Only applications submitted via Seek will be accepted, and only shortlisted applicants will be contacted. Please, no recruitment agencies.