Data Engineering and Analytics Manager

University of Melbourne; City of Melbourne; On-site; AUD 153,412 - 154,412; Full time

Benefits offered by this job

Flexible work arrangements

Salary packaging

Health insurance

Employee Assistance Program

Job summary

A leading educational institution in Melbourne seeks a Data Engineering and Analytics Manager to oversee its data platforms and lead a high-performing team. The role involves driving innovation in cloud-based solutions and ensuring efficient data governance. Ideal candidates will have leadership experience and a degree in IT or Computer Science.

Qualifications

• Managing data engineering and data science teams in AWS or Snowflake environments.
• Understanding of data governance, security, and compliance in cloud environments.
• Ability to engage diverse stakeholders.

Responsibilities

• Lead the development and support of the Enterprise Data Lake and EDW platforms.
• Oversee the creation of scalable, secure data pipelines.
• Drive data engineering and data science best practices.

Skills

Leadership

Data governance

Cloud environments (AWS, Snowflake)

Communication skills

Team mentoring

Education

Bachelor’s or Post‑Graduate degree in Information Technology, Computer Science, or related field

Job description

Data Engineering and Analytics Manager

Location: University of Melbourne, Australia

Salary: A$153,412.00/yr - A$154,412.00/yr (plus 17% super). Compensation rates updated as of November 1, 2025.

Overview

As the Data Engineering and Analytics Manager at the University of Melbourne, you will lead the development and support of the Enterprise Data Lake (AWS) and Enterprise Data Warehouse (EDW) platforms, turning data models into robust operational outcomes that enable enterprise reporting and analytics. You will drive innovation in cloud‑based data solutions, lead a high‑performing team, and directly impact the university’s data‑driven decision‑making capabilities.

Responsibilities

• Provide direction and oversight for the Snowflake data warehouse and AWS data lake architecture, ensuring alignment with organisational goals.
• Lead and develop a team of data engineers and analytical analysts, fostering a high‑performing, collaborative culture.
• Oversee the creation of scalable, secure data pipelines, ensuring efficient data movement, transformation, and governance.
• Drive the evolution of data engineering and data science practices, embedding best practices in automation, security, and performance.

Qualifications

• Bachelor’s or Post‑Graduate degree in Information Technology, Computer Science, or related field.
• Proven leadership experience managing data engineering and data science teams, preferably in AWS or Snowflake environments.
• Deep understanding of data governance, security, and compliance in cloud environments.
• Strong communication and interpersonal skills, with ability to engage diverse stakeholders.
• Commitment to mentoring and developing team members, fostering continuous learning and innovation.

What We Offer

• Supportive flexible work arrangements and commitment to inclusion and well‑being.
• Progressive leave provisions to empower work‑life balance.
• Salary packaging and access to a range of discounted services, including Bupa health insurance.
• Health and well‑being services including a leading Employee Assistance Program.

Application Process

Required documents:

• Resume
• Cover Letter outlining your interest and experience
• Responses against the Selection Criteria (found in the Position Description)

For recruitment queries, email Mick Powar at [e-mail]. Include the Position Number and Job Title in the subject line.

Applications close: Sunday 9th November Australian Eastern Standard Time (AEST) / Melbourne time zone.

All candidates are considered under Australian law. The University of Melbourne is an Equal Opportunity Employer and a child‑safe organisation. Reasonable adjustments are available for candidates throughout the application and interview stages.