Data Engineer II

Company: NIUM

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series D+

Industry: FinTech

Salary Range: ₹ 18-23 Lacs PA

Job Description

The Role

At Nium, we’re revolutionizing 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 optimize 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 optimize 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.
  
  

• 2–3 years of professional experience in Data Engineering or a related role.
• Strong SQL expertise, including query optimization, complex transformations, and data-modelling.
• Solid Python skills for data engineering and pipeline development.
• Hands-on experience with AWS services such as Redshift, Lambda, Glue, and S3, as well as Airflow for orchestration.
• Familiarity with modern transformation and modelling practices using tools such as dbt.
• A collaborative mindset, strong problem-solving skills, critical thinking, and a willingness to take ownership and initiative.
  
  

• Experience contributing to large-scale cloud migration initiatives.
• Knowledge of real-time data streaming using Kafka.
• Exposure to CI/CD pipelines and infrastructure-as-code for data platforms.
• Interest in exploring AI/ML use cases within modern data ecosystems.
• Understanding of the payments domain or fintech data challenges.