Own end-to-end BI solutions with significant technical autonomy

About Our Client

Our client is a large and well-established organisation undertaking a significant enterprise systems and reporting transformation. They are investing in modern cloud-based data and analytics capabilities to improve reporting, governance and decision-making across the business.

Job Description
Design and develop scalable data pipelines using Databricks and Azure Data Factory
Build and optimise ETL/ELT processes for enterprise reporting needs
Integrate data from multiple business systems into centralised platforms
Develop dimensional, semantic and data warehouse models
Create and enhance Power BI dashboards, reports and analytics solutions
Facilitate stakeholder workshops to gather reporting requirements
Produce technical documentation, data mappings and solution designs
Ensure compliance with governance, security and enterprise standards

The Successful Applicant
Solid experience delivering enterprise BI and analytics solutions
Hands-on expertise with Databricks and Microsoft Fabric




Advanced Power BI development and optimisation skills
Experience building Azure Data Factory data pipelines
Robust SQL development and performance tuning capability
Knowledge of dimensional modelling and data warehousing concepts
Experience working with large, complex datasets
Strong stakeholder engagement and requirements gathering skills

What's on Offer
Enterprise Transformation Project

Join a major business transformation program with high visibility and meaningful impact across the organisation.* Modern Data Technology Stack

Work with leading technologies including Databricks, Microsoft Fabric, Azure Data Factory and Power BI.* End-to-End Ownership

Take ownership of solutions from discovery and design through to delivery and optimisation.* Cooperative Environment

Partner closely with business stakeholders, SMEs and technical teams to deliver impactful outcomes.* Prospect to Influence

Play a key role in shaping reporting, analytics and data engineering best practices.

📌 Senior Bi & Data Engineering Consultant Perth
🏢 Michael Page
📍 Perth