Senior Analytics Engineer

Hassett Group; City of Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

Hassett Group in Melbourne is seeking a Senior Analytics Engineer to advance our data and analytics platform. You will design scalable data models, craft reliable ELT pipelines and shape semantic models for analytics and reporting.

The role sits at the intersection of data engineering and business intelligence, using Microsoft Fabric, SQL and Power BI to transform core systems into trusted datasets for decision making.

Qualifications

• Experience as Analytics/BI engineer or similar data-focused role.
• Strong SQL and dimensional modeling capabilities.
• Experience with Microsoft Fabric and Power BI is preferred.

Responsibilities

• Develop and maintain scalable data models across Microsoft Fabric.
• Build transformation and ELT processes from core systems.
• Design dimensional models and reusable analytical datasets.
• Develop and maintain semantic models for Power BI.
• Collaborate with stakeholders to translate requirements into data solutions.
• Improve data quality, governance and development standards.
• Support CI/CD and ongoing data platform evolution.

Skills

Analytics Engineering

BI Engineering

Advanced SQL

Dimensional modeling

Semantic modelling

Power BI

ELT/ETL

Data transformation

Stakeholder comms

Tools

Microsoft Fabric

Azure

SQL Server

Job description

Our client is an established Australian organisation operating across a complex, project-based environment. With a significant technology and data transformation underway, the business is investing in a modern Microsoft data platform to improve how information is structured, governed and used across the organisation. This is an opportunity to join at an important stage of that journey, helping build the data and analytics capability that will support better reporting, insight and decision-making across the business.

ABOUT THE ROLE

Reporting into the Senior Business Systems & Innovation Analyst, the Senior Analytics Engineer will play a key role in developing and maturing the organisation’s data and analytics environment.

This is primarily an Analytics Engineering role, sitting between traditional data engineering and business intelligence. You’ll work across data transformation, modelling and the semantic layer, turning data from core business systems into trusted, well-structured datasets that can be readily used for analytics and reporting.

The environment is centred around Microsoft Fabric, SQL and Power BI, so we’re looking for someone with strong analytics engineering capability who ideally also brings practical data engineering experience across areas such as ingestion, ELT, integration and modern cloud data platforms.

KEY RESPONSIBILITIES

• Develop and maintain scalable data models across the Microsoft Fabric environment
• Build reliable transformation and ELT processes from core enterprise systems
• Design dimensional models and reusable datasets for analytics and reporting
• Develop and maintain semantic models supporting Power BI and self-service analytics
• Partner with business stakeholders to translate reporting and analytical requirements into robust data solutions
• Improve data quality, documentation, governance and development standards
• Support CI/CD and the ongoing evolution of the organisation’s modern data platform

ABOUT OUR CLIENT

Our client is an established Australian organisation operating across a complex, project-based environment. With a significant technology and data transformation underway, the business is investing in a modern Microsoft data platform to improve how information is structured, governed and used across the organisation. This is an opportunity to join at an important stage of that journey, helping build the data and analytics capability that will support better reporting, insight and decision-making across the business.

Reporting into the Senior Business Systems & Innovation Analyst, the Senior Analytics Engineer will play a key role in developing and maturing the organisation’s data and analytics environment.

This is primarily an Analytics Engineering role, sitting between traditional data engineering and business intelligence. You’ll work across data transformation, modelling and the semantic layer, turning data from core business systems into trusted, well-structured datasets that can be readily used for analytics and reporting.

The environment is centred around Microsoft Fabric, SQL and Power BI, so we’re looking for someone with strong analytics engineering capability who ideally also brings practical data engineering experience across areas such as ingestion, ELT, integration and modern cloud data platforms.

KEY RESPONSIBILITIES

• Develop and maintain scalable data models across the Microsoft Fabric environment
• Build reliable transformation and ELT processes from core enterprise systems
• Design dimensional models and reusable datasets for analytics and reporting
• Develop and maintain semantic models supporting Power BI and self-service analytics
• Partner with business stakeholders to translate reporting and analytical requirements into robust data solutions
• Improve data quality, documentation, governance and development standards
• Support CI/CD and the ongoing evolution of the organisation’s modern data platform

KEY REQUIREMENTS

• Strong experience in an Analytics Engineer, BI Engineer or similar data-focused role
• Advanced SQL skills and strong experience developing dimensional data models
• Experience working with Microsoft Fabric, Azure or comparable modern cloud data platforms
• Strong understanding of semantic modelling and Power BI
• Practical experience with ELT/ETL, data transformation and integration
• Broader Data Engineering experience across pipelines, Lakehouse/Warehouse architecture or data ingestion will be highly regarded
• Strong stakeholder communication skills with the ability to connect technical data solutions to business requirements

Applications will be assessed within 5 business days and shortlisted applicants will be notified directly.