Senior Analytics Engineer — Data Platform & AI Readiness

La Trobe University; City of Banyule; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Generous leave provisions

Health and wellbeing initiatives

Collaborative and inclusive culture

Job summary

La Trobe University is transforming its data and analytics capabilities and seeks a Senior Analytics Engineer to build trusted, scalable data products that support decision-making across the University.

In a modern Azure, Databricks and dbt environment you will design robust data models, develop semantic layers and deliver analytics-ready assets while mentoring others and upholding governance and quality standards.

Qualifications

• Significant experience delivering enterprise data and analytics solutions.
• Advanced expertise in SQL, dimensional modelling and analytics engineering practices.
• Experience working with modern cloud data platforms such as Azure, Databricks and dbt.
• Strong understanding of data governance, metadata, lineage and data quality principles.
• Excellent stakeholder engagement and communication skills.
• The ability to work independently while contributing positively to a collaborative team environment.
• HEO9 Senior Analytics Engineer (4).docx

Responsibilities

• Design, develop and own scalable Gold-layer data products, semantic models and analytics-ready data assets that support enterprise decision-making.
• Build and optimise semantic layers that support enterprise reporting and self-service analytics.
• Collaborate with data engineers, analysts and business stakeholders to translate requirements into effective solutions.
• Champion best-practice data modelling, testing, documentation and governance standards.
• Mentor junior team members and contribute technical leadership across the analytics engineering capability.
• Support the delivery of innovative analytics and AI-ready solutions that create value for the University community.
• Act as a technical authority for analytics engineering, establishing modelling standards, reusable patterns and quality practices across the University.

Skills

SQL

Dimensional modelling

Analytics engineering practices

Data governance

Metadata

Data quality

Stakeholder engagement

Communication skills

Independent work

Tools

Azure

Databricks

dbt

Job description

La Trobe University is transforming its data and analytics capabilities and seeks a Senior Analytics Engineer to build trusted, scalable data products that support decision-making across the University.

In a modern Azure, Databricks and dbt environment you will design robust data models, develop semantic layers and deliver analytics-ready assets while mentoring others and upholding governance and quality standards.