Rio Tinto's innovative heap leaching technology requires a data engineer to unlock insights that transform how the world thinks about mining, making mining cleaner, more responsible, and technology-driven.
Requirements
- Familiarity with pipelines, cloud platforms, and distributed data
- Experience with versioning, testing, CI/CD, APIs, and MLOps
- Familiarity with containerization and orchestration
- Background in Computer Science, Engineering, Data Science, or a related field
- Passion for applying skills to real-world challenges
- Experience with software development best practices
- Knowledge of Data Mesh principles
Responsibilities
- Collaborate in an Agile, startup style environment with data scientists, engineers, product owners, and mining experts to turn ideas into solutions that scale fast and deliver real impact.
- Engineer powerful, end-to-end data solutions, from real-time ingestion of sensor data to transformation and inference pipelines, that are secure, reliable, and built for scale.
- Experiment with cutting-edge cloud technologies and Data Mesh principles, pushing the boundaries of data and AI in mining.
- Shape the culture of a startup by taking ownership, thinking independently, and iterating quickly.
Other
- 5+ years of experience preferred
- Bachelor's or advanced degree in Computer Science, Engineering, Data Science, or a related field
- Ability to collaborate, share knowledge openly, and communicate with clarity
- Startup mindset: action-oriented, creative, resilient, and always learning
- Ability to work in an inclusive environment where people feel safe, respected and valued
