Senior Data Engineer

Confirmed live in the last 24 hours

Payoneer

Gurugram, India

Hybrid

Posted April 9, 2026

Job Description

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

Role summary

We’re looking for a Senior Data Engineer with a drive for excellence and an ownership mindset who can lead the design and delivery of scalable, secure, and highly reliable data platforms in a complex payments and fintech environment. You set the technical bar for your team: you architect systems, make sound trade-off decisions, unblock cross-team delivery, and mentor engineers.

You’re deliberate about how AI-assisted development is adopted on your team, setting guardrails that prevent shortcuts from becoming long-term cognitive debt, while actively using AI to solve real engineering and business problems.

AI-first mindset: We value engineers who can incorporate AI and agentic development practices into how we build data systems, setting patterns for responsible AI-assisted engineering across design reviews, code quality, testing, and documentation, while delivering data engineering-led AI use cases such as intelligent data quality and observability, anomaly detection, automated alert triage, and governance.

What You’ll Do

Own the technical architecture for large-scale batch and streaming data pipelines that power product, risk, and reporting use cases, using frameworks such as Apache Beam, Spark, or Flink with managed runners like Google Cloud Dataflow.