Senior Analytics Engineer

School of Education, La Trobe University

Victoria

On-site

AUD 140,000 - 190,000

Full time

11 days ago
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Benefits offered by this job

Generous leave provisions
Health and wellbeing initiatives
Collaborative and inclusive culture

Job summary

La Trobe University is seeking a Senior Analytics Engineer to design robust data models, semantic layers and analytics-ready assets in a modern Azure, Databricks and dbt environment.

Reporting to the Senior Manager, Data & Analytics Engineering, you will mentor others, establish standards and deliver AI-ready analytics that support university decision-making. This hands-on role requires collaboration across data teams and a strong technical leadership mindset.

Qualifications

  • Experience delivering enterprise data and analytics solutions.
  • Advanced SQL, dimensional modelling and analytics engineering.
  • Experience with Azure, Databricks and dbt.
  • Knowledge of data governance, metadata, lineage and data quality.
  • Excellent stakeholder engagement and communication skills.
  • Ability to work independently in a collaborative team.

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

Analytics engineering
SQL
Dimensional modelling
Data governance
Stakeholder engagement
Independent work

Tools

Azure
Databricks
dbt

Job description

Job Description

La Trobe University is embarking on an exciting transformation of its data and analytics capabilities. We\'re seeking a highly skilled Senior Analytics Engineer to help build the trusted, scalable and analytics-ready data products that support decision-making across the University.

Working within a modern Azure, Databricks and dbt environment, you will play a critical role in designing robust data models, developing semantic layers and delivering high-quality data assets that enable reporting, analytics and emerging AI initiatives.

This is an excellent opportunity for an experienced analytics engineering professional who enjoys solving complex problems, influencing technical standards and mentoring others while remaining hands-on with technology.

About the position

Reporting to the Senior Manager, Data & Analytics Engineering, you will:

  • 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 and experience

To be successful in this role, you will demonstrate:

  • 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
Benefits include:
  • Generous leave provisions
  • Access to health and wellbeing initiatives
  • A collaborative and inclusive culture

View all benefits: http://www.latrobe.edu.au/jobs/working/benefits

Welcome to Bundoora

La Trobe's Melbourne (Bundoora) campus is home to a vibrant community of staff and students and sits within one of Australia's largest university campuses, offering modern facilities, excellent public transport access and a strong connection to industry and community partners.

Closing Date:

By 11:55pm on

Recruitment enquiries: Senior Talent Acquisition Partner, Strategy and Senior Appointments m.magaton@latrobe.edu.au

Aboriginal and Torres Strait Islander Applicants

We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.

Our commitment to diversity and inclusion

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

Our commitment to safety

All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.

National Code on Gender Based Violence in Higher Education

La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability.

Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation of liberty or autonomy.

Why La Trobe

Develop your career at an innovative, global university where you\'ll collaborate with community and industry to create impact.

Enjoy working on our inspiring and stunning campuses - the perfect hub for industry, students and academics.

Help transform the lives of students, partners and communities now and in the future.

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