Data Engineer
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What you'll do
- Establish and drive adoption of AI-ready data architecture, including ontologies, semantic layer design, knowledge repositories, and unstructured data repositories.
- Develop modern AI-infused data engineering frameworks, including spec-driven development, intelligent orchestration, and DataOps across multiple squads and micro-squads.
- Define and evolve data platform architecture with regional and global architects, balancing business timelines with strategic architecture intent.
- Lead the design of large-scale data products and capabilities supporting operational, advanced analytics, AI, and ML processes.
- Act as the local connection point between ANZ business leaders and the distributed engineering team, translating business intent into engineering precision.
- Guide and mentor engineers, and drive engineering disciplines that improve delivery velocity, platform trust, transparency, and production readiness
What they're looking for
- 10+ years’ hands-on data engineering experience in a large corporate environment.
- 3+ years’ experience in technical leadership or data architecture.
- Expert SQL and Python programming skills.
- Experience designing AI-ready data products for Agentic AI and GenAI/BI use cases.
- Strong knowledge of data modelling patterns, MLOps, DataOps, modern BI tools, and data and AI governance.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
To act as the technical authority for Chubb’s data transformation in ANZ, setting engineering standards, shaping architectural direction, and connecting business needs with a distributed data engineering team.
Key responsibilities;
- Establish and drive adoption of AI-ready data architecture, including ontologies, semantic layer design, knowledge repositories, and unstructured data repositories.
- Develop modern AI-infused data engineering frameworks, including spec-driven development, intelligent orchestration, and DataOps across multiple squads and micro-squads.
- Define and evolve data platform architecture with regional and global architects, balancing business timelines with strategic architecture intent.
- Lead the design of large-scale data products and capabilities supporting operational, advanced analytics, AI, and ML processes.
- Act as the local connection point between ANZ business leaders and the distributed engineering team, translating business intent into engineering precision.
- Guide and mentor engineers, and drive engineering disciplines that improve delivery velocity, platform trust, transparency, and production readiness
Ideal knowledge
- 10+ years’ hands-on data engineering experience in a large corporate environment.
- 3+ years’ experience in technical leadership or data architecture.
- Expert SQL and Python programming skills.
- Experience designing AI-ready data products for Agentic AI and GenAI/BI use cases.
- Strong knowledge of data modelling patterns, MLOps, DataOps, modern BI tools, and data and AI governance.
Why Chubb?
Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com.
Chubb celebrates diversity by fostering an inclusive, flexible and equitable workplace. We support applications from all members of our community and equitable access to our employment opportunities. We are open to discussing workplace flexibility in all our vacancies, to ensure we can attract the best candidates and accommodate individual needs, differences, disabilities and working arrangements. Please let us know if you require any adjustments to the recruitment process so we can support you to present your best self.
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