Lead Data Engineer

Immersve is a payment infrastructure company that enables Web3 wallets, DeFi protocols, and exchanges to issue Mastercard-branded cards funded by crypto assets.

Seed11 current maintainers6 active leads9 lead step-downsTeam intelligence

Maintainer signals as of 9/25/2026

10/128 Onewa Road, Northcote, Auckland 0627, New Zealand

Funding history

About Immersve

Immersve helps Web3 businesses and custodial platforms issue crypto-funded Mastercard payment cards through an issuing-as-a-service API. Users can connect digital wallets to spend stablecoin assets at merchants globally via virtual, physical, or mobile wallet cards. It operates as a regulated Mastercard principal member supporting both non-custodial and custodial integrations across multiple blockchains.

View jobs by Immersve

Skills

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.

Lead Data Engineer at Immersve | JobStash