Senior Analytics Engineer

• Employment Type: Full-Time (35-hour week)
• Duration: Fixed Term contract until December 2025   
• Remuneration: Level 8 From $123k - $133k + 17% superannuation & leave loading
• Location:  Kensington NSW (Hybrid Flexible Working)

Why your role matters

The Senior Analytics Engineer, Special Projects, plays a pivotal role within the Pro Vice-Chancellor Education & Student Experience (PVCESE) Innovation Pillar. This position is integral to the design, implementation, and maintenance of scalable cloud-based data services, creating a robust and sustainable operational environment for enterprise-level educational analytics.

With a focus on delivering data Lakehouse solutions, pipelines, data modeling, and ETL/ELT processes, the role is dedicated to supporting strategic educational innovation projects. These initiatives aim to foster innovation and enhance the student experience by leveraging advanced analytics capabilities.

The Senior Analytics Engineer works closely with agile teams comprising Data Scientists and Education Designers to support the delivery of strategically aligned educational solutions. Responsibilities include establishing and maintaining DevOps/MLOps processes, developing and monitoring data pipelines, assisting with Azure Resource Management, and staying abreast of emerging trends and technologies in the field.

Reporting directly to the Project Manager, Special Projects, and maintaining a dotted line to the Chief Data & Insights Officer for technical and design-related matters, this role ensures the seamless integration of analytics solutions across key educational projects. While the role does not have direct reports, it requires strong leadership and technical expertise to drive innovation and excellence in educational analytics.

Specific accountabilities for this role include:  

• Consult and liaise with project leaders, management team, data scientists, education designers and other stakeholders to understand business needs and lead data service planning, delivery and support.
• Collaborate with divisions, faculties and schools to understand their data and analytics needs and provide relevant advice or data solutions that meet their requirements.
• Develop, implement, monitor and maintain data solutions using the University approved platforms, managing and optimising data storage and retrieval systems to enable complex analytical queries and reporting.
• Design and implement data models and define data schemas, relationships and constraints, including principles of normalisation, denormalisation and dimensional modelling, to ensure scalability, performance, and maintainability of analytics processing.

About You:  

• Postgraduate degree in Computer Science, Software Engineering or related field with relevant experience in data engineering, cloud engineering, business intelligence development, or an equivalent level of competency gained through any combination of education, training or experience.
• Advanced cloud computing skills and experience in the development and implementation of data resources and pipelines in cloud-based computing environments. Proven experience in Azure Data Factory/Synapse workspace, Azure Machine Learning Studio and Databricks are highly desirable.
• Advanced programming skills and experience in the implementation and management of structured and unstructured big data analysis. Proven experience in SQL, Python and PySpark is highly desirable.
• Demonstrated proficiency in data manipulation tools to interrogate large-scale databases. Proven experience in Synapse SQL server/serverless server and Databricks SQL server is highly desirable.
• Demonstrated ability to define, develop and implement testing procedures, including knowledge of automated testing software and methodologies.
• Demonstrated ability to conduct impact assessments and implement mitigation measures to ensure compliance with data security and privacy regulations and changes to data collection requirements for the university, identifying ways to collect data in the enterprise systems that protect sensitive data, including research, student and staff data.
• Demonstrable high-level problem-solving and analytical skills, to identify and implement required developments and processes to deliver and improve data service solutions.
• Demonstrated ability to work proactively and effectively in a collaborative and interdisciplinary environment of teams and stakeholders.
• Exceptional communication and interpersonal skills with the ability to build and maintain effective working relationships and convey ideas and information in a clear and professional manner through presentations, written communication, high-quality analysis, submissions, reports and recommendations.
• High level organisational and project management skills with experience contributing to large projects in a technical capacity with a wide variety of stakeholders in an agile, deadline-driven environment.

The Organisation

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do.  If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

Benefits and Culture:

UNSW offers a competitive salary and access to UNSW benefits including:

• Flexible working
• Additional 3 days of leave over the Christmas period
• Access to lifelong learning and career development
• Progressive HR practices
• Discounts and entitlements 

More information on the great staff benefits and culture can be found here.

To Apply: Please submit your CV, Cover Letter and responses to the selection criteria (the skills and experience in the PD) via the ‘Apply Now’ button.

A copy of the Position Description can be found on JOBS@UNSW.

Applications close: Monday 6th January 2025 at 11.55pm.

Get in Touch: Chloe Gane – Talent Acquisition Consultant

chloe.gane@unsw.edu.au

Applications cannot be accepted if sent directly to the contact listed.

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.