Data Analytics Engineer

Job Title: Data Engineer
About Orica:
At Orica, its 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.
Its 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.
- Drive EBIT growth through cost reduction and effective performance contracts.
- Deliver critical data solutions for analysis and insights.
- Generate internal and external reports and enhance CoE service capabilities.

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 organised, 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 analysis.