AusCycling    

More than a sport.

Our ambition is to be a global leader in cycling, respected for our positive impact on and off the bike. We are here to ensure that current and future generations experience both the simple joy of riding a bike, and the opportunity to reach their full potential.

AusCycling is the nation’s peak riding and cycling body, representing more than 5 million Australians who ride bikes. Formed in 2020 from 19 state, territory, and national bodies, AusCycling is responsible for programs, projects and initiatives that encompass BMX, Track, Mountain Bike, Road, Para and recreational.

We help school kids learn to ride, we stage more than 500 events each year, we nurture clubs and create pathways, and we are responsible for the training, welfare, and performance of Australia’s Olympic, Commonwealth Games and World Tour athletes.

AusCycling is committed to diversity and inclusion, to integrity and clean sport, to building communities and to achieving excellence in the right way.

Team Purpose             

Deliver sustained performance success on the international stage and create healthy, inspirational role models that value their connection with the sport.

Position Purpose       

As a (Senior) Data Engineer at AusCycling, you will be responsible for designing, implementing, and managing the data architecture that enables the collection, cleansing, processing, and integration of large volumes of structured and unstructured data across the organization. Your work will support data-driven decision-making within the performance pillar of Auscyling helping athletes to achieve their golden medal winning ambition. 

You will work within the Data and Intelligence department to develop scalable data pipelines, deliver integrated data platforms, and ensure reliable, timely access to actionable insights.

Responsibilities         

• Design and manage end-to-end data architecture in Microsoft Azure environments.
• Build and maintain efficient ETL pipelines for structured and unstructured data.
• Lead data integration from various sources including APIs, streaming data, and third-party platforms.
• Data modeling
• Collaborate with stakeholders to translate business needs into data solutions.
• Guide and mentor junior engineers, developers, and interns.
• Basic understanding of data security and implementation - Azure Active Directory and security groups