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.
Funding history
Projects
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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You'll design and build the data solutions that people inside and outside the business rely on, bringing together cardholder behaviour, transactions, financial and KYC/AML data. You'll build dashboards and extracts, evaluate tools, champion data quality, document best practice, support CI/CD pipelines and tell the story behind the data.
Requirements
- Solid data engineering experience with a track record of successful data insight projects
- Confidence making Node.js application changes to capture missing data
- Excellent communication, stakeholder management and problem-solving skills
- Fluency with modern software delivery tools
- Ability to work in a fast-paced, cross-functional team
- Based in New Zealand with the right to work there
Responsibilities
- Design and build data pipelines, visualisations and data products
- Build dashboards, visualisations and extracts that answer business questions
- Lead evaluation and selection of data tools and technologies
- Champion data quality across Engineering and the business
- Identify insights needed to deliver the product at scale in a regulated industry
- Document and embed best practice including performance, automated, load and acceptance testing
- Keep CI/CD pipelines fast and easy to ship through
- Write test plans and test your own work
- Define and track outcomes showing data engineering is working
Benefits
- Work from anywhere in New Zealand
- Five weeks' annual leave
- Investment in growth, learning and development
- Share options
- MacBook Pro
- Home office budget
Hiring Process
Two interviews and one technical task: a general conversation first, then the task, then a second interview going through it along with other technical questions.