Engineer (12 Month Contract)

Chubb European Group Ltd.; Sydney; On-site; AUD 180,000 - 260,000; Full time

Job summary

Chubb European Group Ltd. in Sydney seeks a senior data engineering leader to act as the technical authority for ANZ data transformation, setting engineering standards and shaping architectural direction.

You will connect business needs with a distributed data engineering team, drive AI-ready architectures, DataOps practices and large-scale data products across squads, and mentor engineers to improve delivery velocity and production readiness.

Qualifications

• Experience leading data engineering teams.
• Proven ability to design AI-ready data architectures.
• Strong collaboration with business leaders and technical teams.

Responsibilities

• Establish and drive adoption of AI-ready data architecture, including ontologies and semantic layer design.
• Develop modern AI-infused data engineering frameworks and DataOps across squads.
• Define and evolve data platform architecture with regional/global architects.
• Lead design of large-scale data products for analytics, AI, and ML processes.
• Act as the local connection between ANZ leaders and distributed engineering teams.
• Mentor engineers and promote disciplines to improve delivery velocity and production readiness.

Skills

Data engineering leadership

AI-ready architecture

DataOps

Ontology design

Stakeholder collaboration

Education

Bachelor's degree in Computer Science or related field

Job description

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