Senior Data Engineer

3 days ago

Greater Sydney Area, Australia Viva Leisure Full time $120,000 - $180,000 per year

Company Description

Australian-owned, Award-winning, and ASX listed, Viva Leisure are Australia's second-largest and fastest-growing operator of health and fitness experiences and facilities. Viva Leisure operates in all segments of health and fitness and our range of offerings includes big-box health clubs, express gyms, high-intensity group training studios, pilates, yoga, aquatics, women's only facilities, personal training and more.

Founded in 2004, some of our key brands are Club Lime, hiit republic, Plus Fitness, GROUNDUP and Rebalance. We currently have a footprint of over 300 facilities across Australia and internationally, including both corporate-owned and franchised sites. Our head offices are in Canberra ACT and Sydney NSW.

Viva Leisure have the mission of connecting health and wellness to as many people as possible through our range of awesome, affordable and accessible facilities. Our vision is to be the #1 in the industry for our employees, our shareholders, our franchisees, our communities, and of course our members.

Role Summary

As the founding Senior Data Engineer for Viva 360, you'll design and build the data and AI backbone of Viva Leisure's new analytics platform. This hands-on role focuses on developing scalable data pipelines, machine learning infrastructure, and decision engines that transform raw data into real-time, predictive insights driving member retention, acquisition, and personalisation.

You'll architect and operationalise production-grade systems, implement data governance, and integrate ML models into core business functions. This is a rare opportunity to shape the future of data and AI in the fitness industry — with autonomy to make key technical decisions, direct visibility to leadership, and the chance to expand the platform's impact across brands and use cases.

This opportunity is available at our Sydney or Canberra head offices.

Skills and Experience

We are looking for someone with:

Education and Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field (or equivalent experience).
  • Postgraduate qualifications in data engineering, data science, or cloud technologies are desirable.
  • Professional certifications in AWS, Azure, or GCP (Data Engineer focus) are highly regarded.

Skills and Experience

  • 7+ years' experience building and maintaining production-grade data platforms and ML pipelines.
  • Expert in Python (PySpark, pandas) and SQL for data engineering, modelling, and optimisation.
  • Proven experience with cloud-based data services (AWS, Azure, or GCP).
  • Skilled in designing data lakehouse architectures, governance frameworks, and scalable ETL/ELT workflows (Airflow, Data Factory, etc.).
  • Strong understanding of dimensional modelling and ML lifecycle management, including deployment, versioning, and monitoring.
  • Proficient with Git for version control and collaborative development.
  • Familiarity with MLflow, Kafka/Kinesis/Event Hubs, and BI tools (Power BI, Tableau, Looker) is desirable.
  • Experience working in multi-tenant, regulated data environments handling PII and compliance requirements.
  • Excellent communication and stakeholder engagement skills, with a proactive, ownership-driven mindset.
  • Bonus: Experience in fitness, leisure, or subscription-based industries, and knowledge of Australian data privacy standards.

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