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• Employment Type: Full time position, 12-month Fixed Term position.
• Remuneration: Level 8 – from $123,044 + 17% superannuation.
• Location: Kensington, NSW

About the Role

The Senior Data Engineer will play a crucial role in Cardiac AI, a research program focused on developing data resources, analytics, and tools to combat cardiovascular disease. The role involves designing, developing, optimizing, automating, documenting, and managing data operations, specifically processing Electronic Medical Records (EMR) in a secure cloud environment. The engineer will collaborate with data scientists, cardiologists, neurologists, health IT teams, and AWS engineers to support Cardiac AI’s mission to use AI-driven insights for improving cardiovascular health outcomes. The role reports to the technical lead of Cardiac AI.

The successful candidate will have demonstrated experience in and be responsible for:

• Develop and oversee the development and maintenance of Python scripts to merge data extracts from multiple sources, ensuring data consistency, accuracy, and integrity. Manage and test the AI models for the de-identification of notes, and maintain an identifier registry and opt-out process.
• Identify areas of improvement and provide the leadership needed to maintain the efficiency and effectiveness of the data processing. Lead initiatives to redesign and enhance processes to improve scalability, reliability, and performance. Collaborate with cross-functional teams to implement best practices, promote a culture of continuous improvement, and ensure the timely delivery of high-quality data outputs.
• Lead and execute ETL processes and other data engineering tasks as required. This may include conversion of existing ETL scripts from ‘Cerner CCL’ language to ‘Snowflake SQL’, or providing synthetic data for use in test environments.
• Engage with AWS engineers and other stakeholders to ensure the quality and accuracy of the automated Cardiac AI data pipeline.
• Prepare and maintain complex relevant documentation of AWS Cardiac AI cloud workspaces to enable ongoing management of the data pipeline processes.
• Participate in workshops, implementation activities and stakeholder meetings.

About You

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Postgraduate qualifications (MSc, PhD) would be an advantage.
• Professional software development experience with a proven track record delivering high quality software on time using test-driven development and agile project management methods.
• Demonstrated programming experience with Python.
• Demonstrated expertise in (development and operations) DevOps processes.
• Demonstrated knowledge and skills in cloud computing platforms, especially AWS and Snowflake.
• Experience with ETL processes and the development and management of SQL databases.
• Experience working with Electronic Medical Records and/or other Health data.
• Excellent communication skills and the ability to work collaboratively in multidisciplinary teams.
• Experience working with health data, including compliance with privacy regulations is highly desirable.
• Ability to work independently and lead data engineering projects.

For further information on the role & responsibilities, please refer to the Position Description

How to Apply: Submit your CV & cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the job description) before Wednesday 30 April by 11:55pm.

Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.

UNSW Benefits and Culture: People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world. Our benefits include: 

• Flexible Working Options (work from home, flexible hours etc) 
• Additional 3 days leave during December festive period.
• Career development opportunities 
• Up to 50% discount on UNSW courses
• Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice.
• Discounts and entitlements (retail, education, fitness passport)

Job queries contact: Tai James, Talent Acquisition Consultant

E: tai.james@unsw.edu.au  (applications to the address cannot be accepted, please apply online) 

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.