Senior Analytics Engineer - AI-Ready Data Platforms

La Trobe University

City of Melbourne

On-site

AUD 150,000 - 190,000

Full time

13 days ago
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Benefits offered by this job

Health and wellbeing initiatives
Collaborative culture

Job summary

La Trobe University in Melbourne is seeking a Senior Analytics Engineer to design and deliver scalable data products, semantic layers and analytics-ready assets that support university-wide decision-making in Azure, Databricks and dbt environments.

You will mentor teammates, drive governance and modelling standards, collaborate with data engineers, analysts and stakeholders, and contribute to AI-ready analytics initiatives, while hands-on with technology.

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.

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
Stakeholder engagement
Independent work

Tools

Azure
Databricks
dbt

Job description

La Trobe University in Melbourne is seeking a Senior Analytics Engineer to design and deliver scalable data products, semantic layers and analytics-ready assets that support university-wide decision-making in Azure, Databricks and dbt environments.

You will mentor teammates, drive governance and modelling standards, collaborate with data engineers, analysts and stakeholders, and contribute to AI-ready analytics initiatives, while hands-on with technology.

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