Senior Data Platform Engineer

Overview

Hi, we’re MoonPay. We’re here to onboard the world to the decentralized economy.

MoonPay is building the infrastructure that powers a new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods. We provide tools to send, receive, and manage stablecoins so anyone can participate in the crypto economy confidently. We are licensed and regulated across the U.S., U.K., EU, Canada, and Australia, with trust and compliance as a priority.

We recently launched a consumer app to make crypto accessible, intuitive, and usable for everyone, and we’re growing fast. We’re always iterating to improve the product. If you believe financial freedom should be for everyone and you want to help build a fairer, more open financial system, we want you with us.

Opportunity

This is a hands-on technical leadership role with the opportunity to shape the future of our data platform. You will be responsible for designing and building core systems to unlock value from our data as we grow. You should thrive on solving complex challenges, from high-level architectural design to implementation, while mentoring the team and influencing the long-term vision.

What you will do

As a Senior Data Engineer on our Data Platform team, you’ll be a key contributor to the evolution of our platform. You’ll work across a broad range of technical challenges—from data-intensive streaming systems, orchestration, data governance, machine learning enablement and platform scalability—ensuring our data foundations are reliable, performant, and ready for future growth.

Day-to-day, you will :

• Lead the design and delivery of complex data engineering projects , partnering with stakeholders to take initiatives from concept to successful implementation.
• Design and develop core components of our data platform , including building and scaling real-time data pipelines for event delivery and enabling machine learning.
• Embed best practices and governance into the Data Platform , enabling other teams to build confidently and consistently on robust foundations.
• Develop orchestration and automation capabilities to streamline data workflows and improve platform efficiency.
• Own the estimation, planning, and execution of complex projects , including new feature development and major service upgrades.
• Write well-tested, high-quality, and performant code for real-time data processing, automation, and infrastructure management.
• Mentor engineers on the team , elevating their skills and promoting best practices in data engineering through guidance and code reviews.

About You

You’re a skilled and experienced engineer with a passion for building robust, scalable, and impactful data solutions . You thrive in a collaborative environment and are driven to deliver high-quality systems while helping your teammates grow and succeed.

We’re looking for someone who brings :

What’s in it for you

What’s it like to work at MoonPay?

At MoonPay, you’ll work alongside driven, resourceful people who are passionate about excellence in everything they do. Kaizen is a mindset here, and you’ll have support to grow and do your best work. We’re listed in the Sunday Times best places to work guide and strive to create an environment where everyone can do the best work of their career while shaping the future of the decentralized economy.

Whether you’re remote or collaborating with teammates around the world, you’ll have opportunities to do your best work.

Commitment To Diversity

We believe in diversity and inclusion. We encourage applicants from all backgrounds and experiences. MoonPay is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law. We provide accommodations in the interview process upon request.

Please inform our Talent Team if you need any assistance completing forms or participating in the application process.

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