Data Engineer- Blasting Analytics CoE

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

The Data Engineer – Blasting Analytics CoE will design, implement and maintain data solutions on the Azure data platform and provides specialist/analysts support to generate insights using Orica, customer, and third-party data to enable Orica to sustainably create value.

What you will be doing

• Uphold Orica's safety standards and adhere to Global Operating Procedures.
• Design and build scalable, reliable data pipelines and ETL processes on Azure.
• Collaborate with stakeholders to define data requirements and design solutions.
• Implement data integration and transformation using Azure Synapse Analytics and APIs for seamless data exchange between SAP S/4HANA and other systems.
• Develop, test, and deploy data processing using SQL, Python, PySpark, and other languages.
• Optimize data workflows for performance and efficiency.
• Conduct data profiling, cleansing, and quality assessments to ensure integrity.
• Troubleshoot and resolve data issues and performance bottlenecks promptly.
• Work with cross-functional teams to improve data architecture and governance.
• Document data solutions, including models, flow diagrams, and specifications.
• Set up tools for data visualization, report generation, and visual creation.

What you will bring

• Degree in Engineering, Science (Computer/Data Engineering/Analytics), or related field.
• Minimum 5 years’ experience in data engineering/analytics, preferably with Azure focus.
• Proficient in Azure Synapse Analytics, Azure DevOps, Azure Storage, Azure SQL Database, Azure ML, and Azure Data Factory.
• Strong SQL skills, experience with relational and non-relational databases, and languages like Python, R, PySpark, Scala, or .NET.
• Hands-on experience with big data technologies like Hadoop or Spark.
• Experience with CI/CD and DevOps practices desirable.
• Knowledge of data integration best practices, data governance, and data quality principles.
• Experience with data visualization tools, descriptive and exploratory statistics, predictive modeling, and machine learning algorithms.
• Advantageous: Understanding of minerals and mining industry data.
• Demonstrates courage, resilience, and flexibility, high integrity and ethics.
• Builds trust, strong stakeholder management, and communication skills.
• Self-aware, open to feedback, with strong attention to detail and accountability.
• High-level decision-making and problem-solving skills. Self-motivated, well organized, and logical, with ability to work under pressure and meet deadlines.
• Travel required less than 25% of the time.
• Subject matter expertise in data engineering and analytics.

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.