Cloud Data Engineer

Join us in shaping the future of the insurance industry, driven by innovation and a 150-year legacy of protecting people. Take advantage of well‑being initiatives designed to support your mental and physical health, ensuring a balanced lifestyle. Work with experienced and skilled colleagues who support and inspire one another to achieve collective success.

Welcome to TAL. As a leading life insurer, we’ve been protecting Australians for over 150 years. Backed by Daiichi Life, we're driven by big ambitions and empower to create better products and services. Together with our Partners, we’re helping millions of Australians live a life filled with choices, options, and freedoms. See the direct impact you make delivering support and financial security with care and expertise.

Grow beyond expectations with diverse roles, global connections, and exclusive learning opportunities. Work with passionate, bright and capable colleagues. Feel inspired by supportive leaders. Collaborate with heart, where flexibility, wellbeing and inclusivity is valued. Together, we’re reimagining insurance. So, bring a curious mind and an ambition to help us become the progressive, digitally enabled leading insurer.

At TAL, data helps us better understand and support the people we protect. As a Data Engineer, you’ll play an important role in strengthening the trusted data foundations that enable smarter decisions, better customer experiences and future-ready digital services. Working within our Data Engineering team, you’ll help connect information across the organisation in ways that are reliable, scalable and meaningful, supporting TAL’s broader ambition to use data responsibly to deliver better outcomes for customers, partners and our people.

This is an opportunity to contribute to work that matters, helping transform complex information into trusted insight that supports our purpose of protecting Australians when they need it most.

• Build reliable data pipelines that enable trusted reporting, analytics, operational and AI-enabled outcomes.
• Develop reusable data assets that improve consistency, reduce duplication and accelerate delivery across TAL.
• Modernise legacy data processes into secure, scalable and maintainable cloud-based solutions.
• Embed quality, lineage and governance controls to strengthen trust, transparency and data risk management.
• Optimise data workflows for performance, reliability, cost efficiency and operational resilience.
• Collaborate across teams to deliver practical, reusable solutions that meet business and customer needs.
• Bring experience in data engineering, software engineering or analytics engineering within a complex environment.
• Build and support data pipelines, transformations and curated datasets for reporting, analytics or operational use.
• Work confidently with cloud-based data platforms such as Azure, Microsoft Fabric, Databricks or similar technologies.
• Use SQL and relevant tools such as Python or Spark to deliver reliable, production-ready data solutions.
• Apply sound knowledge of data quality, governance, privacy, security and supportability practices.
• Hold a relevant tertiary qualification in IT, computer science, software engineering, data engineering or a related field; relevant certifications are desirable.

TAL is one of Australia’s leading life insurers, committed to inclusion, and supporting the career growth of our diverse workforce. We’re proud to be:

• An Inclusive Employer – Recognised as Employer of Choice for Gender Equality by the Workplace Gender Equality Agency from 2014 to 2025 and 2023 to 2026 Bronze Tier Status within the Australian Workplace Equality Index
• Diversity Champions – Member of Diversity Council Australia, Australian Disability Network, Pride in…