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Lead Data Engineer

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Description

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.

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

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

Benefits

  • Work from anywhere in New Zealand
  • 5 weeks annual leave
  • Share options
  • MacBook Pro
  • Home office budget

Skills

What Lead Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →