Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money. Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is listed on the London Stock Exchange under the ticker, WISE. 16 million people and businesses use Wise globally, which processes £9 billion in cross-border transactions every month, saving customers around £1.5 billion a year. For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages. Login to access customer support: https://wise.com/login/ FB: https://www.facebook.com/Wise/ IG:https://www.instagram.com/wiseaccount/ TW:https://twitter.com/home
Full time
Wise Hybrid (London, UK)
As a financial institution moving billions of pounds of customer money in more than 70 countries, Wise must have bulletproof financials. We need timely, accurate and scalable financial data to be compliant with regulations and make accurate business decisions inside the company. We are now looking for an experienced Data Engineer. This role gives a great opportunity to combine technical data processing skills with finance and automation experience. You will get familiar with all key products of Wise, understand the business, and also improve your data analysis expertise. Your mission: Design, build, maintain ETL processes and data models behind Analytical Pipelines within Finance Create monitoring / alerting solutions over existing data pipelines / models Implement accurate controls over analytical pipelines output datasets Implement solutions to monitor the cost and performance of databases within Finance Collaborate with Finance software...