Data Engineer

Are you passionate about applying your technical data expertise to drive impact in a values-led organisation working to regenerate nature and protect the planet? WWF-Australia is seeking a Data Engineer to lead the development of scalable, cloud-native data infrastructure that powers fundraising and supporter engagement. You’ll design ML-ready data models, build robust ETL pipelines, and enable predictive analytics that inform strategic decisions across the organization. This is a unique opportunity to apply your skills in data warehousing, cloud technologies(GCP), SQL, Python, BigQuery, dbt, and Power BI to support a mission-driven team committed to nature regeneration by 2030.

• Workplace flexibility including monthly RDO
• WWF-Australia Office location negotiable
• 2 years full-time contract
• Join a diverse global network working for people and planet across 100 countries
• Work in a high performing, values-driven organisation

You can find the full position description and selection criteria by ((“clicking here“)).

About Us

WWF-Australia is an award-winning and innovative organisation determined to do things differently. We use our superpowers to partner in delivering nature-positive solutions, empowering communities, and halting climate change – in Australia, the Asia-Pacific region, the Southern Hemisphere and globally. We are a values-driven organisation with a diverse global network of local organisations working in 100 countries. We work as a catalyst with communities, First Nations, governments, businesses, innovators, and philanthropists towards our global mission: to build a world where people live and prosper in harmony with nature.

About the Role
The Data Engineer plays a key role in enabling data-driven decision-making at WWF-Australia. The role is primarily focused on data engineering—building and maintaining the WWF-Australia data warehouse, designing scalable data models, and managing ETL pipelines. It also involves contributing to data analysis and data science initiatives leveraging AI & machine learning, supporting WWF-Australia’s evolution into a mature, insight-driven organisation.

Key Accountabilities (Refer to Position Description for full list of Key Accountabilities)

• Deliver and maintain a high-performing data warehouse: Lead the development and optimisation of the data warehouse in Google BigQuery to support scalable analytics, Artificial Intelligence (AI)/ Machine Learning (ML) workloads and an effective Customer Relationship Management platform.
• Design efficient data models for analytics and ML: Create structured, performant, and ML-ready data models using SQL and dbt, ensuring efficient storage, transformation, and accessibility.
• Develop and manage ETL pipelines: Build robust ETL processes leveraging GCP-native tools and Python to enable reliable data ingestion, transformation, and delivery across platforms.

Skills, Knowledge and Experience (Refer to Position Description for full list of Selection Criteria)

• Data Engineering: Advanced experience with SQL (BigQuery and PostgreSQL preferred), Python, database management, ETL processes, data modelling (dbt) and preparing datasets for AI/ML applications.
• Cloud Technologies: Expertise with core GCP services such as BigQuery, Cloud Storage, and Cloud Functions (or similar services on other platforms such as AWS or Azure).
• Customer Data Platforms (CDPs): Hand-on experience working with CDPs such as the Salesforce Data Cloud

Our Commitment to Diversity: WWF values diversity and is building a workforce that reflects the community we serve. WWF is an equal opportunity employer and Aboriginal & Torres Strait Islander peoples, people from culturally & linguistically diverse (CALD) backgrounds, sexuality and gender diverse (LGBTQIA+) community members, and people living with disabilities are encouraged to apply.

Our Commitment to Safeguarding: WWF-Australia is committed to acting with respect and upholding the human rights, welfare and dignity of all persons we employ, engage with or who are affected by our activities and work, with special regard for vulnerable individuals and children.

As part of your employment, you will be required to undergo background checks relevant to your position (eg. Police Checks, Working with Children Checks, Reference Checks), abide by our safeguarding policies, and sign our Safeguarding Code of Conduct.

You can find the full position description and selection criteria by ((“clicking here“)).

Applications

Please include the following two attachments: (1) a cover letter/statements against the selection criteria and (2) your resume (CV).

We may review applications and interview candidates on a rolling-basis, therefore we encourage you to apply at your earliest convenience. 

Note that applicants require current unlimited working rights in Australia to be eligible for this role.

Closing Date: 11:59PM, Sunday 7th September 2025.

Contact: For any questions, please contact jobs-au@wwf.org.au