Senior Data & Integration Engineer

About Us

Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

Our Opportunity

Work Location: Perth – Fortescue’s Perth office is located on the traditional lands of the Whadjuk Noongar people

Roster: Monday to Friday

Fortescue is accelerating its decarbonisation ambitions through advanced AI, real-time telemetry and intelligent automation across its asset base. As part of the Core Decarb AI team, the Senior Data & Integration Engineer will design and implement real-time, event-driven data platforms that unify video metadata, asset telemetry and operational system events into scalable, production-grade analytics and AI solutions.

This senior technical role designs and builds low-latency, event-driven architectures enabling real-time monitoring, anomaly detection and automated operational decision support. You will develop streaming pipelines and pub/sub patterns, deliver curated analytics-ready data models, ensure data quality and observability, and provide dashboards and structured event outputs that support continuous HME health visibility and system performance across edge and cloud environments.

Key Responsibilities

• Develop streaming pipelines to ingest video metadata, asset telemetry and operational system events into scalable, production-grade analytics pipeline
• Develop pub/sub patterns using MQTT, Kafka or comparable streaming technologies
• Leverage Snowflake to deliver curated, analytics-ready data models
• Apply real-time analytics for scoring and anomaly detection
• Publish structured events to downstream systems such as maintenance platforms, dispatch systems and work order tools
• Implement data quality monitoring and alerting to identify telemetry gaps, latency issues and ingestion failures
• Design and maintain dashboards and visualisations that provide continuous HME health visibility, contextual alerting, explainability and system observability.

Qualifications and Experience

• Strong experience designing and building real-time or near real-time data platforms in high-volume industrial, mining, energy or operational environments
• Strong hands-on expertise with MQTT, Kafka or comparable event streaming and pub/sub technologies
• Proven capability working with large-scale datasets
• Experience designing structured and curated data models in Snowflake or comparable cloud data platforms
• Experience with time-series data processing and technologies
• Advanced Python and SQL development skills for data engineering, API development, integration services and stream processing workflows
• Familiarity with AWS infrastructure and cloud-native data architectures
• Relevant tertiary qualifications in Engineering, Computer Science or a related discipline, or equivalent practical experience.

Our Commitment

Fortescue is deeply committed to providing a safe culture that builds respect, fosters inclusiveness, and values diversity. We celebrate individual strengths and team members from all backgrounds are encouraged to bring their whole selves to work. Our global workforce drives and promotes an inclusive culture, both within our organisation and throughout the communities we interact with across the world. Diverse backgrounds include First Nations Peoples, people with differing abilities, LGBTIQ+ community, gender, neurodiverse, cultural diversity, all age groups, and those with an intersectional or multiple diverse characteristics. We encourage candidates from all backgrounds to apply.

https://fortescue.com/careers
Internal Candidates / Current Contractors please apply via Success Factors Careers Portal. For further information on how to apply please visit the Fortescue Hub.
Fortescue reserves the right to close applications early should a suitable pool of candidates be identified. Fortescue will never contact you to ask for payment of any kind, whether directly or through a third party.