Senior AI & Data Platform Engineer

Fujitsu; City of Melbourne; On-site; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Best in-class reward and recognition programs

Flexible work options

Career growth opportunities

Diverse work environment

Job summary

A global technology leader seeks an experienced AI & Data Consultant to design and deliver modern data platform solutions. This role demands expertise in data engineering, modelling, and visualisation with minimal oversight. Responsibilities include developing scalable data solutions, leading implementations, and mentoring junior team members. Candidates should have strong SQL skills, experience with Databricks, and be able to communicate complex concepts clearly. A commitment to diversity and inclusion is integral to the workplace culture.

Qualifications

• Strong hands-on expertise across data engineering, modelling, and visualisation.
• Professional consulting skills with client-facing experience.
• Ability to communicate complex technical concepts clearly.

Responsibilities

• Design and develop scalable data engineering and AI solutions.
• Lead end-to-end implementation of modern data platforms.
• Deliver data ingestion, integration, and transformation pipelines.
• Develop data models and visualisation solutions.
• Provide operational support and continuous improvement.
• Collaborate with stakeholders to translate requirements into solutions.
• Mentor junior team members as necessary.

Skills

Data Lake / Lakehouse architecture

Databricks

Data Warehousing concepts

SQL expertise

Data Modelling

Data Integration

Terraform (IaC)

CI/CD pipelines

Job description

A global technology leader seeks an experienced AI & Data Consultant to design and deliver modern data platform solutions. This role demands expertise in data engineering, modelling, and visualisation with minimal oversight. Responsibilities include developing scalable data solutions, leading implementations, and mentoring junior team members. Candidates should have strong SQL skills, experience with Databricks, and be able to communicate complex concepts clearly. A commitment to diversity and inclusion is integral to the workplace culture.