Who are we?
WorldRemit is changing the way people send money abroad. We’ve taken something complicated and made it simple. Tap the WorldRemit App or click on our website and your international transfer is made – to a bank account, cash pickup, Mobile Money, or airtime top-up. Founded in 2010, we send international remittances from 50 countries to more than 150 countries and we continue to expand our footprint.
Using WorldRemit is easy because we do the hard bit, connecting hundreds of banks, money agents, mobile operators and payment systems around the world. These were never designed to work together, but WorldRemit makes it happen.
WorldRemit has grown on average by 50% year on year and is now processing over £3bn of remittances on an annualised basis. We have raised c.$200 million in funding, currently employ over 750 employees and have offices in London, USA, Philippines, Poland, Australia, New Zealand, Canada, Japan, Hong Kong and other locations.
The journey is just beginning. We believe in faster, simpler, more accessible money transfers. That means building better products and services for our customers.
Changing the world isn’t easy – so we only hire the most talented people. You need to think differently, believe in new solutions to old problems, and have the drive to make them happen. We aim to attract, retain and develop people that can bring to life our values:
You can learn more about our culture and how we work by watching this video on our Careers page
About the Role
Based in London and working in our data engineering team, you’ll be helping us develop our data lake and data warehouse. We have users sending money from 50 countries to over 150 countries – and we’re expanding. The work is varied, from creating new products and features to improving existing functionality, we strive to build a better customer experience and a better codebase. This is real growth at pace.
You will be using AWS, Python and SQL to interpret data from a wide range of sources and deliver it to all parts of the business, for example Finance, Operations and Marketing. Our data lake is currently 20TB in size and growing.
Summary of required experience & attributes
Start Date: ASAP
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