Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and build data solutions, pipelines, visualisations, and products that combine behavioural, transaction, financial, and KYC/AML data. You will create business dashboards and extracts, select data tools, promote data quality, support CI/CD and testing, and monitor data-engineering outcomes.
Requirements
- Solid data engineering experience with successful data insight projects
- Ability to make Node.js application changes to capture missing data
- Communication, stakeholder management, and problem-solving skills
- Knowledge of modern software-delivery project-management tools and methodologies
- Ability to work in a fast-paced cross-functional environment
- Understanding of financial services, payment processing, and issuing-as-a-service models
Responsibilities
- Design and build data pipelines, visualisations, and products
- Create dashboards, visualisations, and tabular extracts for the business
- Lead the evaluation and selection of data tools and technologies
- Champion data quality across Engineering and the business
- Document and embed testing best practices
- Enable CI/CD practices through data pipelines
- Build test plans and perform testing
- Develop and monitor data-engineering outcomes
Benefits
- Work from anywhere in New Zealand
- 5 weeks annual leave
- Share options
- MacBook Pro
- Home office budget
Hiring Process
General interview, technical task, then a technical interview reviewing the task and discussing technical questions.