Data Engineer II

Nium provides global infrastructure for real-time cross-border payments.

We were founded on the mission to deliver the global payments infrastructure of tomorrow, today.

Our platform enables banks, fintechs, and global businesses to move money instantly, everywhere.

Co-headquartered in San Francisco and Singapore with offices in 14 markets worldwide, we are entering one of the most exciting chapters in our journey.

In March 2026, we delivered the largest month in our 11-year history with record revenue, record volumes, and EBITDA profitability.

Today, Nium moves nearly $60B in payments annually, almost entirely for enterprises, while continuing to strengthen an already healthy balance sheet.

It is an incredible time to join us, and we are only just getting started.

Our payout network spans 190+ countries and 100 currencies, with 100 + corridors in real time.

We power seamless transfers to accounts, wallets, and cards, support local collections in 35 markets, and as a principal card issuer on Visa, Mastercard, Discover, and UATP, Nium issues over 50 million card tokens every year.

Backed by regulatory licenses in 40+ markets, we make it simple for our partners to onboard, integrate, and scale globally.

This scale and innovation have earned us recognition as one of CNBC’s World’s Top Fintech Companies 2025, winner of Best Cross-Border Payments Solution at the PayTech Awards, and inclusion in FXC Intelligence’s Top 100 Cross-Border Payments Companies list.

In 2024, we raised US$50 million in Series E funding at a US$1.4 billion valuation to accelerate network expansion, product innovation, and talent growth.

With the B2B payments market projected to hit US$175 trillion by 2030, Nium offers ambitious builders the chance to shape the future of global money movement with the scale of a leader and the energy of a high-growth company.

• Build and optimise scalable , maintainable , and high-performance data pipelines and workflows.
• Ingest, transform, and deliver high-volume data from a range of structured and unstructured sources, including MySQL databases and real-time Kafka streams.
• Design and maintain performant data models in Redshift, and optimise SQL queries to support analytics and reporting workloads.
• Contribute to our cloud migration journey and help evolve the data architecture with new ideas and improvements.