About Orica At Orica, it's the power of our people that leads change and shapes our futures. Every day, all around the world, our people help mobilise vital resources essential to progress. Established in 1874, we have grown to become the world leader in mining and civil blasting with a diverse of team of more than 13,000 across the world. It's an exciting time to join us – we are shaping the future of mining through digital and automated technologies, embracing new ways of thinking, pioneering innovation and reimagining the way we work. About the role We are excited to announce a key opportunity at Orica for a Data Engineer within our Digital Solutions team focused on delivering quality data ingestion, processing and visualization solutions. Orica's Digital Solutions seamlessly connects our customers' physical and digital worlds so they can readily understand and optimise their operations at every step of the value chain, from exploration to processing, empowering smarter, data-driven decisions. We seek a Data Engineer who thrives on ensuring operational excellence and reliability. You will work with Data Scientists, Product Managers, and Subject Matter Experts to deliver valuable insights to our customers. Your role will involve designing and implementing data pipelines, managing data workflows, and ensuring optimal performance and scalability of our data solutions to meet the analytical needs of our customers. The team is a mixture of remote and hybrid (Newcastle based). You will work with other teams geographically distributed across Australia and overseas. What you will be doing The Data Engineer role involves identifying areas of improvement in data pipeline efficiency and performance within Azure Data Factory. This includes engaging with stakeholders to understand their data requirements and implementing effective data integration and transformation solutions. Collaboration with internal teams and customers is essential for the successful implementation and maintenance of data pipelines. Thisrole also requires assessing, troubleshooting, and optimizing data workflows and CI/CD processes across platforms such as Azure DevOps, Azure Data Factory, and Azure Machine Learning to ensure optimal performance and reliability. What you will bring Azure Data Factory experience. Azure Machine Learning experience. Azure DevOps experience. Python development experience. MySQL administration experience. Experience in Azure Cloud Application architecture. Preferably in multi-tenanted SaaS. Effective communication skills. Experience with Data Bricks is desirable. Experience with deploying ML workloads to IoT devices is desirable. Experience with ISO-27001 compliance is desirable. What we offer As part of a truly global company, you will have the ability to grow and learn in a diverse, collaborative culture. We foster relationships and learning through connected global and local teams, promote flexible and diverse career paths and support the development of your knowledge and skills. You will be paid a competitive salary, learn from talented individuals across multiple disciplines and be able to thrive in a safe workplace within a collaborative culture. Ignite your career at a place where your distinct potential can find its home. We respect and value all Orica promotes and fosters a culture of inclusion and Equal Opportunity Employment everywhere we operate. We treat our people and applicants with fairness, dignity, and respect, getting the best of everyone's contributions. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, gender perception or identity, nationality, age, military or veteran, marital or disability status.
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