Xendit provides payment infrastructure across Southeast Asia, with a focus on Indonesia, the Philippines and Malaysia. We process payments, power marketplaces, disburse payroll and loans, provide KYC solutions, prevent fraud, and help businesses grow exponentially. We serve our customers by providing a suite of world-class APIs, eCommerce platform integrations, and easy to use applications for individual entrepreneurs, SMEs, and enterprises alike.
Our main focus is building the most advanced payment rails for Southeast Asia, with a clear goal in mind — to make payments across and within SEA simple, secure and easy for everyone. We serve thousands of businesses ranging from SMEs to multinational enterprises, and process millions of transactions monthly. We’ve been growing rapidly since our inception in 2015, onboarding hundreds of new customers every month, and backed by global top-10 VCs. We’re proud to be featured on among the fastest growing companies by Y-Combinator.
At Xendit, we seek a Senior/Staff Data engineer who will bring technical expertise to help us build a reliable and scalable Data platform to empower internal teams to work independently and unlock full potential of our data. You’ll bring a diverse set of skills across data engineering including data pipeline design at scale (batch/real-time), data infrastructure, data governance, data quality testing, development & deployment best practices, and more. You will be part of the Data engineering core team, working among 8 other talented data engineers. With your relentless drive for successful outcomes, you will work on the most complex projects within the core team as well as contribute to highly impactful cross-team initiatives. You can expect to own a technical roadmap ensuring the tools and services that the team provides are reliable, scalable, easy-to-use, and cost-efficient. You possess a strong commitment to going the extra mile and delivering projects of high quality on time. You enjoy working with others and are able to level up other engineers. Your contributions will help stakeholders to generate value from data and indirectly drive revenues.