Build the data platform behind a major industrial operation
We're working with a leading resources organisation investing heavily in data, analytics and digital transformation.
This role sits at the centre of the business, connecting operational data from processing plants, logistics networks and critical infrastructure into a modern cloud environment. You'll be responsible for building scalable data pipelines, creating trusted datasets and helping turn raw operational data into meaningful insights.
What You'll Be Doing
- Build and maintain data pipelines using Python, SQL and AWS
- Integrate data from operational systems, vendor platforms and APIs
- Design and optimise datasets in Amazon Redshift
- Support reporting, analytics and machine learning initiatives
- Improve data quality, governance and monitoring
- Work closely with operational stakeholders to solve real business problems
- 5+ years' experience in Data Engineering
- Strong Python and SQL skills
- Experience with AWS services such as Redshift, S3, Glue and Lambda
- Strong background in ETL/ELT development
- Experience with data modelling and cloud data warehouses
- Ability to work across multiple systems and data sources
- Mining, manufacturing, logistics or industrial experience
- Exposure to SCADA, PI, telemetry or operational technology data
- Data Science or Machine Learning experience
- Experience working with real-time or streaming data
✅ Blend of Data Engineering and Data Science
✅ Modern AWS tech stack
✅ High visibility and business impact
✅ Opportunity to shape a growing data platform
If you enjoy building robust data solutions and want to work on projects that directly influence operational performance, we'd love to hear from you.
