About the role

Why you’ll like it:

• Meaningful work: build the data foundations used by Pricing, Actuarial and analytics teams.
• Modern stack: GCP, BigQuery, dbt; scope to lift performance, quality and reliability.
• Collaborative environment with data scientists, analysts and engineering peers.

Deliverables/Purpose:

• Design, build and maintain reliable ETL/ELT pipelines into a Google Cloud data platform.
• Deliver governed, well-documented data products for pricing and actuarial use cases.
• Triage and deliver ad-hoc data requests for analytics and reporting.
• Embed robust testing/validation and uplift data quality, lineage and performance.
• Write clean, readable, well-documented code; align with team architecture and standards.

Contract details:

• Length: 12 months
• Location/work setup: Hybrid working based in Auckland CBD
• Team: Collaborative data engineering squad closely partnered with analytics and actuarial

The skills and experience we need you to bring:

• Advanced SQL and strong ETL design and implementation experience.
• Data modelling with dbt (or similar transformation frameworks such as Dataform).
• GCP experience is preferred including BigQuery; familiarity with related services (e.g., Cloud Storage, Composer/Airflow, Dataflow) open to AWS or Azure experience.
• Python for data engineering, version control and good documentation practices.
• Strong grasp of insurance products and how data flows support pricing/actuarial needs.
• Proven track record of building testable, high-quality pipelines and data products.
• Comfortable engaging with stakeholders, prioritising competing requests and working in Agile teams.

Contractor Benefits:

• Wellbeing Discovery Sessions
• Welcome Packs
• Hnry discount
• Exclusive Invites
• Optional Pay-As-You-Go PI/PL Insurance

Sound like you? Apply with your CV or reach out for a chat.

REF: 19296