At Nium, we're revolutionising the global payments industry - and data sits at the core of everything we do. We're looking for a passionate and skilled Data Engineer to join our India-based Data Engineering team.

This is more than a purely technical role. You'll help shape the future of our data platform as we migrate from on-premises systems to AWS cloud. You'll work hands-on with modern tools such as Airflow, Redshift, dbt, and Kafka, collaborating closely with product, engineering, analytics, and business teams to deliver high-quality, scalable data solutions that power real-world payments and enable data-driven decision-making.

You'll have the opportunity to contribute to high-impact projects, solve complex technical problems, and work on a platform that supports millions of users globally. If you're motivated by learning, collaboration, and building resilient data platforms at scale, this role offers a strong opportunity for growth.

Key Responsibilities
- 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.
- Collaborate with cross-functional, globally distributed teams to translate business requirements into robust technical solutions.
- Embed data quality, reliability, observability, and security as first-class principles across the data platform.
- Support and enhance data solutions operating in a mission-critical payments environment.
- Continuously learn, share knowledge, and help raise standards across data governance, quality, and security practices.

Requirements
- 2-3 years of skilled experience in Data Engine

📌 Data Engineer II (Mumbai)
🏢 Nium India
📍 Mumbai