Explore exciting Data Engineer opportunities in Perth, where innovation meets opportunity. Perth's job market is actively seeking skilled Data Engineers to contribute to various sectors, including mining, technology, and finance. These roles involve designing, building, and maintaining data pipelines, ensuring data quality, and supporting data-driven decision-making processes.

Data Engineer positions in Perth require expertise in data warehousing solutions, ETL processes, and big data technologies. Professionals will work with programming languages like Python and SQL, utilizing cloud platforms such as AWS, Azure, or Google Cloud. They will collaborate with data scientists and business analysts to deliver actionable insights.

Candidates should possess a strong analytical mindset, problem-solving skills, and a solid understanding of database systems. Companies are looking for individuals who can optimise data infrastructure, implement data governance policies, and stay updated with the latest industry trends. Secure your next Data Engineer role in Perth and advance your career.

What People Ask

A bachelor's degree in computer science, data science, or a related field is typically required. Employers often seek candidates with experience in data modelling, ETL processes, and programming languages such as Python or Java. Knowledge of cloud platforms and big data technologies is beneficial.

Data Engineers in Perth are responsible for designing and building data pipelines, ensuring data quality, and maintaining data infrastructure. They work on data integration, data warehousing, and data governance.



Collaboration with data scientists and business analysts to support data-driven decision-making is common.

Top employers include BHP, Rio Tinto, and Woodside. These companies frequently seek skilled Data Engineers to manage and optimise their data infrastructure. Opportunities can be found in various sectors, including mining, energy, and technology.

The salary range for a Data Engineer in Perth typically falls between AUD 120,000 to AUD 180,000 per year. This range depends on factors like experience, skills, and the specific employer. Senior roles and specialised expertise can command higher compensation.

Data Engineers can advance to roles such as Senior Data Engineer, Data Architect, or Data Engineering Manager. Opportunities also exist to specialise in areas like cloud data engineering or big data solutions. Continuous learning and skill development are key for career advancement.

Where we’re all welcome

We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age,



sexual orientation, or anything else that makes us who we are.

At Rio Tinto, we particularly welcome and encourage applications from Aboriginal and Torres Strait Islander people, women, the LGBTI+ community, mature workers, people with disabilities and people from different cultural backgrounds.

We acknowledge that all people are different and believe that our differences are our strength. The diversity of skills, life experiences and perspectives within our team enhances our way of working and our ability to achieve success together.

About the role

We are looking for a Data Engineer to design, build, implement and maintain pipelines, models and applications to solve business problems and continuously increase value generated.

Reporting to the Delivery or Technical Lead you will:

- Understand and champion Foundry platform and tools
- Understand how the business uses data in existing tools and map business data into the Foundry Ontology (data asset)
- Identify relevant datasets through deep engagement with user workflows
- Liaise with IT departments to secure maintain new datasets and maintain pipelines
- Ingest data from various sources onto the Foundry platform - write transformations and derive new datasets against the business Ontology (data asset)
- Transform structured data from numerous sources into productionised workflows.
- Develop applications using Foundry's suite of products (Workshop, TypeScript Functions, Actions)
- Develop timeseries analysis
- Perform ad-hoc data analysis
- Balance stakeholder

📌 Data Engineer (Australia)
🏢 HBF
📍 Australia