Senior Data & AI Engineer — Azure Lakehouse & GenAI

Data#3; Western Australia; Hybrid; AUD 180,000 - 230,000; Full time

Job summary

Data#3 is seeking a Senior Data & AI Engineer to join our Professional Services team in Central Perth. The role focuses on designing, building, and operating modern data platforms on the Microsoft Azure stack, including lakehouses, pipelines, and AI-enabled solutions.

You will work with Fabric, Azure Data Factory, Synapse, Databricks, and ADLS Gen2/OneLake to deliver production-ready data products with governance and security baked in.

Qualifications

• Hands-on experience with modern data platforms (SQL, PySpark) and lakehouse components.
• Proficiency in data ingestion, transformation, and orchestration.
• Ability to work within architectural guidance and deliver results.

Responsibilities

• Design, build, and operate modern data platforms on Azure.
• Implement and maintain core data components: lakehouses, warehouses, pipelines.
• Develop ingestion, transformation, orchestration, and serving patterns using Fabric, Data Factory, Synapse, Databricks, ADLS Gen2/OneLake.
• Build and optimise SQL and Spark-based transformations and data models.
• Deliver lakehouse layers, ETL/ELT pipelines, and data product components.
• Apply governance, security, and operational practices under architecture.
• Develop GenAI-enabled solutions and integrate AI services with data platforms.

Skills

SQL

Python

PySpark

Databricks

Azure stack

ETL/ELT

Lakehouse

GenAI

Tools

Azure Data Factory

Synapse

Databricks

ADLS Gen2

OneLake

Microsoft Fabric

Job description

Data#3 is seeking a Senior Data & AI Engineer to join our Professional Services team in Central Perth. The role focuses on designing, building, and operating modern data platforms on the Microsoft Azure stack, including lakehouses, pipelines, and AI-enabled solutions.

You will work with Fabric, Azure Data Factory, Synapse, Databricks, and ADLS Gen2/OneLake to deliver production-ready data products with governance and security baked in.