Senior Data Engineer

What You'll Do

• Own the end-to-end design and delivery of scalable data pipelines, models and reusable solutions using Fabric and modern Azure technologies.
• Apply AI, automation and agentic approaches to accelerate and improve data engineering and code development.
• Work with large, complex datasets to deliver reliable, high-quality data solutions.
• Embed security, privacy, data quality and governance controls into solutions, and identify and manage technical and delivery risks.
• Build engineering capability through DevOps, CI/CD, automation, peer review and strong development standards.
• Partner with business and technology stakeholders to shape complex requirements, challenge assumptions and manage expectations throughout delivery.
• Provide technical leadership and coaching while helping continually evolve data engineering practices.
• What You'll Need
• Strong Data Engineering experience within complex, enterprise-scale data environments.
• Hands-on Microsoft Fabric experience, including strong data modelling capability. Candidates with strong Databricks, Synapse and Spark experience alongside an understanding of Fabric will also be considered.
• Strong Python, Spark and SQL engineering skills.
• Practical understanding of AI frameworks and how AI can be applied within modern data engineering.
• Experience working with large datasets and designing robust, scalable data solutions.
• Strong communication skills with the ability to engage technical and business stakeholders.
• DevOps experience, ideally including CI/CD pipelines and Azure DevOps.
• Understanding of data security, privacy and governance in a regulated environment.
• Curiosity, technical leadership and a growth mindset with a desire to continually explore new technologies.
• Highly regarded:
• Experience applying agentic AI solutions to software or data engineering.
• Azure data platform (e.g. Synapse, ADLS, Azure SQL) and Machine Learning experience.
• Financial Services or Superannuation experience.
• Agile delivery experience.
• Life at AustralianSuper
• AustralianSuper is committed to colleague development, and we support our people with ongoing learning, coaching and training, as well as career opportunities across our expanding global organisation. We offer generous leave entitlements and promote a blended working environment in which all roles can flex, and we're happy to discuss what this looks like for you.
• We cultivate a workplace that champions safety, respect, inclusiveness and diversity. We are committed to supporting our diverse workforce in a way that is inclusive and embraces diversity in all its forms. If you require any reasonable adjustments to the recruitment process or the role, please let our recruitment team know.
• What's Next
• If you’re ready to bring your energy, integrity, generosity of spirit and passion for excellent outcomes to a team building the future of AI-enabled data engineering at AustralianSuper, apply now!
• Australian or New Zealand citizenship or Australian permanent residency status is required.
• Progress powered by purpose.
• https://www.australiansuper.com/careers/candidate-privacy-notice
• AustralianSuper may use AI to review resumes and conduct initial phone interviews. This involves processing your resume, cover letter, and voice recording in Australia and the USA to help assess your suitability for the applied role. When invited to an AI phone screening, you may opt for a traditional phone screening instead.