About the job
Nium is revolutionizing the global payments landscape by providing cutting-edge infrastructure for real-time cross-border transactions. Founded to create the payment solutions of the future, we are developing a programmable, borderless, and compliant money movement platform that facilitates transactions between individuals, businesses, and smart systems. Our solutions empower banks, fintech companies, payroll providers, travel platforms, marketplaces, and other global enterprises to execute instant money transfers worldwide.
With dual headquarters in San Francisco and Singapore, our presence spans 14 markets, with a diverse team of professionals across more than 20 countries. Our culture is rooted in the principles of simplicity, continuous improvement, and teamwork. Having achieved record revenue and transaction volumes in 2025, we are poised to enter an exciting new phase of growth. We believe that the best collaborations occur face-to-face, which is why we adopt a hybrid working model with three in-office days each week to foster innovation and alignment.
We facilitate over $50 billion in transactions annually, operating a network that covers over 190 countries, supports 100 currencies, and maintains 100 real-time payment corridors. Our services include swift payouts to accounts, wallets, and cards, local collections in 35 markets, and card issuance in 34 countries, all supported by licenses in over 40 markets.
Having raised over $300 million to date, Nium offers passionate builders a unique opportunity to influence the future of global money movement at scale.
The Role
As a pivotal member of our India-based Data Engineering team, you will play a key role in transforming our data platform while migrating from on-premises systems to the AWS cloud. This position goes beyond technical responsibilities; you will collaborate with product, engineering, analytics, and business teams to design and implement high-quality, scalable data solutions that enable real-time payments and data-driven decision-making. You will work with modern tools such as Airflow, Redshift, dbt, and Kafka, contributing to impactful projects and tackling complex technical challenges that support millions of users globally. If you are eager to learn, collaborate, and build robust data platforms at scale, this role presents a significant opportunity for professional growth.
