Data Engineer
On-siteChristchurch, Canterbury, New Zealand
Job Summary
Design, build, and maintain reliable data pipelines and orchestration for your area using AI where appropriate. Resolve data issues end-to-end by fixing root causes rather than symptoms, and drive the quality of warehouse models underpinning analytics, BI, and customer-facing reporting. Mentor junior engineers and represent the data team with Product, Engineering, Customer, and Finance. This role focuses on owning the design, build, and reliability of data pipelines and orchestration for your area, using AI where it helps, and drive the quality of the warehouse models that underpin our analytics, BI, and customer-facing reporting. You'll resolve data issues end-to-end, fixing root causes rather than symptoms, and have real say in how testing, monitoring, and documentation work in your area. You'll also mentor junior engineers and represent the data team with Product, Engineering, Customer, and Finance.
Required Qualifications
- Strong Python
- Strong SQL
- Experience building reliable data pipelines on AWS
- Understanding of APIs, webhooks, event-driven systems, and data quality
- Experience with testing, Git, CI/CD, and infrastructure as code
- Experience with BI tools such as Looker, Power BI, Tableau, or Superset
Desired Qualifications
- Experience with Lambda, EventBridge, SQS, S3, or DynamoDB
- Experience with Dagster, dbt, DLT, Athena, Iceberg, or ClickHouse
- Experience handling third-party integrations, multi-region systems, or data security and governance
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