Role type: Full-time; Continuing
Faculty: Chief Operating Officer Portfolio
Department/ School: Operational Performance Group
Salary: UOM 9 $146,049 - $151,951 p.a. plus 17% super

Design and optimise scalable data pipelines / Collaborate on cutting-edge analytics projects / Enhance data security and governance

Apply now to take ownership of critical data infrastructure, mentor the next generation of data engineers, and shape the technical direction of analytics and ML capabilities serving the entire University community.

Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

The University of Melbourne 
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.

Your next career opportunity 
As a Senior Data Engineer, you will have the opportunity to design, build, and maintain robust data pipelines within the University's Enterprise Data Lake. You will work closely with cross-functional teams to support advanced analytics and machine learning, ensuring seamless data integration and high performance. Your expertise will be pivotal in driving data governance and security, contributing to a transformative data environment.

Your responsibilities will include: 

Architect, built and own production data pipelines supporting University wide analytics and reporting, ensuring reliability, performance and data quality.

Lead technical design for data integration projects, translating business requirements into scalable solutions with full delivery accountability.

Mentor and develop data engineering members, establishing coding standards, conducting design reviews, fostering excellence

Define and evolve data engineering best practices, evaluating emerging technologies and influencing technical direction.

You may be a great fit if: 

You are an experienced data engineer with a strong focus on AWS, adept at leading pipeline development and optimising data storage and retrieval, while collaborating effectively in cross-functional teams.

You may also: 

Have over 5 years of experience in data engineering, particularly with AWS technologies.

Possess strong proficiency in Python and SQL for data processing and transformation.

Demonstrate experience with AWS CDK for infrastructure automation and CI/CD pipelines.

Exhibit excellent problem-solving skills for optimising data pipeline performance.

Be skilled in communicating complex data engineering concepts to diverse stakeholders.

For further information, please refer to the attached PD. 

What we offer you! 
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including: 

Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being

Progressive, considerate leave provisions to empower your 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

For more information check out our benefits page! 

Your new team – Operational Performance Group
The Operational Performance Group delivers functions that facilitate the design, evaluation, and improvement of services across the University, and business partnering services to Chancellery. The OPG brings together a range of cognate business functions and expertise such as Data Governance, Management and Analytics; Business Transformation and Decision Support; Operational and Service Improvement, Service Design, Experience, Culture and Capabilities; Digital Operations; and Business Continuity Planning.  

Be Yourself 
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We believe the diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing reasonable adjustments throughout. We warmly encourage applications from people with disabilities. For assistance, please contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Contact details for other enquiries are located at the bottom of this page.

Find more information for applicants requiring reasonable adjustments.

Aboriginal and Torres Strait Islander Applicants 
We aspire to be the University of choice for Indigenous Australians. Our Indigenous strategy, Murmuk Djerring outlines our investment and support for Aboriginal and Torres Strait Islander staff and students.

Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au for further information and support.

Please note: This role requires current valid work rights for Australia. Visa sponsorship is not available.

A Working with Children Check (WWCC) is required for all positions. If successful, we'll guide you through the WWCC application process during onboarding and reimburse the cost.

Join Us and unlock your career potential! 
If this role is right for you, please apply with the following documents: 

Resume

Cover Letter outlining your interest and experience (Essential)

Learn more about the application process, including tips and FAQs.

For recruitment queries, please email Mick Powar hr-careers@unimelb.edu.au. Please include the Position Number and Job Title in the subject line. Please do not send applications to this email address.

For job-specific queries, refer to the contact details in the Position Description.

Applications close: Sunday 22nd February 11:55 PM; Melbourne time zone.

Position Description:  <u><span>JR-008545 - Senior Data Engineer - UOM 9 PD.pdf</span></u>

JR-008545 - Senior Data Engineer - UOM 9 PD.docx

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