Data & AI Platform Lead (Microsoft Fabric)

The Recruitment Company; Ryde; On-site; AUD 150,000 - 190,000; Full time

Job summary

The Recruitment Company in Macquarie Park, NSW is hiring a Senior Data Engineer/Lead Data & Analytics Engineer to join a global data & AI transformation. The role blends hands-on engineering with influence over platform design, engineering standards and data practices.

You'll work closely with the Head of Data & AI to drive the Microsoft Fabric migration, design scalable data solutions across the platform, and mentor engineers while improving governance and data quality across analytics

Qualifications

• Senior Data Engineer with strong SQL and database development skills.
• Experience with Microsoft Fabric is a plus.
• Knowledge of lakehouse, warehouse and Medallion architecture.
• Ability to work through ambiguity and own engineering practices.
• Experience with data governance, lineage, metadata and governance.
• Proven track record of taking ownership and influencing across teams.
• Python and/or PySpark is advantageous.

Responsibilities

• Play a key role in the Microsoft Fabric migration.
• Design and build scalable data solutions across the modern data platform.
• Contribute to engineering standards, reusable patterns and quality practices.
• Work across data modelling, ETL/ELT, transformation and integration.
• Help shape how data is structured, governed and made available for analytics and AI.
• Provide technical guidance and mentoring across the wider engineering capability.

Skills

SQL

Data modelling

ETL/ELT

Medallion architecture

Data governance

Git

Python/PySpark

Autonomy

Tools

Git

CI/CD

Job description

The Recruitment Company in Macquarie Park, NSW is hiring a Senior Data Engineer/Lead Data & Analytics Engineer to join a global data & AI transformation. The role blends hands-on engineering with influence over platform design, engineering standards and data practices.

You'll work closely with the Head of Data & AI to drive the Microsoft Fabric migration, design scalable data solutions across the platform, and mentor engineers while improving governance and data quality across analytics