Lead Data Engineer - Remote

Immersive
Immersive

Data Science

Posted on Oct 21, 2026

About us

Immersve is a global card-issuing payment institution and principal partner of Mastercard, built to make digital assets spendable in real time on the Mastercard network. We power some of the largest crypto card programs in the world, including Binance, KuCoin, Bitget Wallet and MetaMask; with no bank and no fiat rail involved. We own the full stack, end to end.

Money is evolving. Its moving onchain faster than most financial systems can keep up with. Stablecoins settle in seconds, run around the clock, and don't care about time zones or banks. Immersve is the last mile: the bridge between web3 infrastructure and the Mastercard acceptance network; turning stablecoin balances into money people can spend today, everywhere Mastercard is accepted.

Our partners don't have to teach their users a new way to pay. We handle the plumbing so the experience feels exactly like the one people already know. Even works with Apple and Google Pay.

The next wave of financial institutions won't win by asking customers to change their habits, they'll win by rebuilding what's underneath while everything on the surface stays familiar. That's the problem we're solving at Immersve, and why we're hiring people who want to build it.

The Role

As a Data Engineer, you will be responsible for designing and building data solutions to meet the needs of stakeholders inside and outside the business. Your role includes “telling stories” with data: being able to help others understand the insights that are being revealed and the meaning of them in terms of business value.

You will collaborate with senior leaders and a skilled team of engineers in a highly collaborative, remote-first environment based in New Zealand.

About you

You are first and foremost a team player. 🥰

You need to have:

  • Solid experience in data engineering, with a track record of managing successful data insight projects
  • Confidence to make Node.js application changes to capture missing data.
  • Excellent communication, stakeholder management, and problem-solving skills
  • Proficient in modern software delivery project management tools and methodologies
  • Ability to work collaboratively in a fast-paced, cross-functional environment

    • Ideally you have:

  • Worked on a successful, highly scaled international project with a large user base.
  • Strong understanding of financial services, payment processing, and issuing as a service models

    • You embrace a continuous delivery mindset — working in small batches, verifying the correctness of your work at each increment. You are comfortable contributing to high level technical designs and mentoring others.

    Key considerations for the role:

  • Design and build data pipelines, data visualisations, and data products that bring together data that includes cardholder/user behaviour, transactions, financial information (specifically unit economics), KYC/AML information
  • Design and build appropriate and relevant dashboards, visualisations, and tabular extracts that answer questions for the business
  • Lead evaluation and selection of tools and technologies to lift data capabilities
  • Be a champion of data quality across Engineering and, as appropriate, across the business
  • Understand what insights are required so we can successfully deliver our product offering with scale, in a heavily regulated industry
  • Document and embed best practice processes, including: performance testing, automated testing, load testing, acceptance testing, non-technical testing etc
  • Play an active role in enabling our Continuous Integration and Continuous Deployment practices with speed and ease of delivery through our pipelines
  • Contribute to testing deliverables by both building test plans and doing testing yourself as well as also showing others how to
  • Develop and monitor key outcomes to measure the success of data engineering

    • Tech Stack

    Below are some of the technologies we are building with:

  • BI tool experience (e.g. Quicksight)
  • Dynamo DB, SQL OLTP OLAP database expertise (e.g. Clickhouse, Redshift etc)
  • ETL, data pipelines and real-time streaming, data transformation (e.g. Kinesis)
  • Node JS, Javascript/Typescript
  • Orchestration (cronjobs, helm deployed jobs)

    • Some of our perks

  • Flexibility - Work from anywhere in NZ for that perfect work-life balance and 5 weeks Annual Leave; ⚖️
  • Support - People first approach 💗 with investment in personal growth, ongoing learning and development; 📚
  • Reward - Competitive salary and share options; 📈
  • Technology - MacBook Pro (Silicon 🤩) and a home office budget. ⌨️

    • Application Process

    Two interviews, one technical task. First is a general interview, then the tech task. The second interview is technical, going over the task and discussing other technical questions.

    We’d love to hear from you! Please send your CV to careers@immersve.com.

    At this stage, we are only considering candidates who are currently based in New Zealand and have valid working rights in New Zealand.

    We look forward to hearing from you!

    See more open positions at Immersive