Data Engineer

MoonPay builds payments infrastructure for cryptocurrencies. Our on- and off-ramp suite of products provides a seamless experience for converting between fiat and crypto using all major payment methods in over 160 countries. Our mission is to make cryptocurrencies accessible to over a billion people by 2030! 🚀

We are bootstrapped and already highly profitable, enjoying a revenue growth of 1000% + in the last 12 months 📈 We have more than 2 million customers and our payment solutions power more than 250 of the world’s largest crypto wallets, websites, and applications.

We are a fully remote, global team across 25+ countries, and we pride ourselves on having a connected and inclusive culture that empowers people to do their best work. We give our team autonomy to move fast, innovate and take responsibility. In the same way the internet became a means to democratize information, cryptocurrency is becoming a means to democratize financial participation at scale.

Join us in our mission to build a better financial world!

The team ❤️

Our newly formed data team is here to build up and serve a best in class data platform to the whole company. This is a greenfield project so you will be able to play your part in key decisions and our strategy from the outset.

Tech Stack 💻

GCP, AWS, Snowflake, BigQuery, Postgres, Python, Airflow, DBT, Looker

What you’ll do 👀

• Design, implement and maintain data infrastructure.
• Design and implement data pipelines extracting data from a wide variety of sources.
• Provide a platform for Data Analysts and Data Scientists to leverage.
• Scale our systems to support our ever growing partner and consumer base.
• Contribute to the estimations, planning and execution of projects, features, and integrations.
• Champion the writing of high quality code.
• Champion high data standards and a data driven mentality across the company.
• Evangelise the adoption of new technology that can positively impact what we are doing and has valid use cases.

You should apply if ✅

• You have extensive experience as a data engineer at leading startups or fast growing tech companies.
• You are confident developing, releasing and maintaining data applications in a fast paced, iterative environment.
• You have either had experience with some of our tech stack or are confident you can cross train and up skill quickly.
• You’ve got a deep understanding of databases, data warehouse and data lake structures, theories, principles, and best practices.
• You are a champion of data quality and testing.
• You have cloud native experience, ideally with GCP
• Bonus points if you have experience with Apache Beam, Kafka, make open-source contributions or have experience in payments or FinTech.

Logistics 🛠

Unfortunately, we are unable to offer visas of any kind at this time!

Our interview process takes place on Google Hangouts and tends to consist of the following stages:

• Recruiter call (20-30 minutes)
• Initial screen (30-45 minutes)
• Remote take-home task
• Final interview (2 hours)

Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.

Benefits 💰

• Competitive salary, based on experience, market data and location 💰
• Share options 📈
• Unlimited holidays 🏝
• Working in a disruptive and fast-growing industry where the possibilities are endless 🚀
• Fully remote: your life, your way of working 🌎
• Freedom, autonomy and responsibility 💪
• Annual company retreat 🧘‍♀️