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Principal AI/Data Platform Engineer & Analytics Lead

Fortescue -
Perth WA

Apply Now

Job Details

4 days ago

Qualifications

CI/CD
Power BI
Law
Deployment
DevOps
Master's degree
SQL
AWS
Docker
Cloud development
GitHub
Scalability
AI
Communication skills
Analytics

Full Job Description

Country/Region: AU

State: WA

City: Perth

Job ID: 16704

Principal AI/Data Platform Engineer & Analytics Lead

Our Opportunity

Work Location

Perth CBD office, on the traditional lands of the Whadjuk Noongar people.

Roster

Monday to Friday, with flexible work arrangements and child care crache available.

Why This Role

Work on complex, meaningful problems with genuine operational and organisational impact
Shape the future direction of AI, analytics, automation, and intelligent decision-support capabilities at enterprise scale
Combine technical depth with product ownership, operational delivery, stakeholder influence, and strategic problem-solving
Join a team focused on practical innovation, measurable value, and long-term capability building

Role description

We’re looking for a highly hands-on professional to help design, build, and operate enterprise AI, analytics, and data solutions that improve operational decision-making, strengthen risk management, and deliver measurable business impact.

This is not a purely strategic or research-focused role. You’ll work directly across coding, debugging, data engineering, AI deployment, analytics, automation, and production support in a lean, high-impact team environment.

The role combines AI and analytics delivery with operational platform ownership and enterprise stakeholder engagement. You’ll help shape intelligent systems while remaining deeply involved in the practical realities of building, deploying, troubleshooting, and maintaining production-grade solutions.

Key Responsibilities

Lead enterprise AI, analytics, and data initiatives from concept through to operational deployment, adoption, and continuous improvement
Remain highly hands-on across the full delivery lifecycle, including coding, debugging, experimentation, model development, deployment, optimisation, and operational support
Design, build, deploy, and support scalable AI, machine learning, analytics, automation, and reporting solutions in production environments
Develop and operationalise AI workflows, intelligent agents, LLM-powered applications, automated pipelines, and data products that solve real operational problems
Maintain and evolve enterprise analytics and AI platforms, including Snowflake-based environments across sandbox, pre-production, and production ecosystems
Develop, monitor, troubleshoot, and optimise ETL/ELT pipelines, orchestration processes, scheduled tasks, stored procedures, database functions, and automated workflows supporting business-critical systems
Work across complex enterprise data ecosystems integrating operational systems, cloud platforms, reporting environments, and automation frameworks
Partner closely with operational leaders, technical teams, and business stakeholders to identify opportunities, align priorities, and deliver practical outcomes
Translate complex technical concepts into clear, actionable insights for technical and non-technical audiences
Contribute to data, AI, and platform governance while balancing innovation with operational reliability, maintainability, scalability, and business adoption

Qualifications and Experience

Core Capabilities

Strong systems thinking with the ability to connect technical solutions to operational and strategic outcomes
Comfortable operating as a deeply hands-on technical contributor while also influencing strategic direction and delivery priorities
Strong problem-solving capability with a pragmatic, delivery-focused mindset
Ability to work effectively across ambiguity, competing priorities, and evolving business needs
Strong stakeholder engagement and communication skills across technical and non-technical audiences
Proven ability to take ownership of complex initiatives and drive outcomes end-to-end in lean team environments
Strong troubleshooting, debugging, and operational support capability in complex enterprise environments
Comfortable managing frequent context switching across technical delivery, platform support, stakeholder engagement, and strategic priorities.
Experienced working with distributed and offshore teams, including providing clear technical direction, maintaining delivery alignment, and ensuring quality outcomes across time zones.

Technical Experience

Strong capability in Python, SQL, and enterprise cloud-based analytics environments
Strong understanding of ETL/ELT concepts, scalable data engineering practices, orchestration, automation, and analytics architecture
Hands-on experience operating and supporting enterprise Snowflake environments, including schemas, tasks, stored procedures, streams, automated pipelines, and production workflows
Experience developing, deploying, and supporting AI, machine learning, analytics, automation, or intelligent agent solutions in production environments
Strong experience with AWS-based data and AI ecosystems, including cloud-native services, deployment patterns, storage, compute, and automation workflows
Experience designing and operationalising AI agent workflows and LLM-powered solutions using frameworks such as LangChain or similar orchestration tooling
Familiarity with containerisation and deployment tooling such as Docker and modern DevOps practices
Experience with enterprise technologies such as Snowflake, AWS, Databricks, Power BI, GitHub, CI/CD workflows, and cloud-native development practices
Strong data visualisation, storytelling, and operational decision-support capability

About Us

Be part of something big. Fortescue is leading the world with our plan to decarbonise our iron ore operations, projects that harness renewable energy and the development of technology that will change our planet forever.

Our Commitment

Fortescue celebrates individual strengths and team members 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. Diverse backgrounds include First Nations Peoples, people with disabilities, LGBTQ+ 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.

Apply Now

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Principal AI/Data Platform Engineer & Analytics Lead

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