Data Engineer II
Nium provides global payments infrastructure for businesses, banks, fintechs, marketplaces, payroll providers, and travel companies.
Maintainer signals as of 8/14/2026
About Nium
Nium is a global payments infrastructure company (multi-currency accounts, global payouts, FX, card issuing, account verification, stablecoin-backed cards) helping businesses collect, hold, convert, and disburse funds across borders.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build scalable data pipelines and workflows, ingest and transform high-volume data from MySQL and Kafka sources, maintain Redshift data models, optimize SQL, support migration to AWS, and embed quality, reliability, observability, and security across a mission-critical payments data platform.
Requirements
- 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 Redshift, Lambda, Glue, and S3
- Experience with Airflow for orchestration
- Familiarity with dbt for transformation and modelling
- Collaborative mindset
- Strong problem-solving skills
- Critical thinking
- Willingness to take ownership and initiative
- Experience contributing to large-scale cloud migration initiatives is a plus
- Knowledge of real-time data streaming using Kafka is a plus
- Exposure to CI/CD pipelines and infrastructure-as-code is a plus
- Interest in AI/ML use cases within modern data ecosystems is a plus
- Understanding of payments or fintech data challenges is a plus
Responsibilities
- Build and optimize scalable data pipelines and workflows
- Ingest, transform, and deliver high-volume data from MySQL databases and real-time Kafka streams
- Design and maintain performant Redshift data models
- Optimize SQL queries for analytics and reporting workloads
- Contribute to cloud migration and evolve the data architecture
- Translate business requirements into robust technical solutions
- Embed data quality, reliability, observability, and security across the data platform
- Support and enhance data solutions in a mission-critical payments environment
- Continuously learn and share knowledge
- Raise standards across data governance, quality, and security practices
Benefits
- Performance bonuses
- Sales commissions
- Equity for specific roles
- Recognition programs
- Medical coverage
- 24/7 employee assistance program
- Generous vacation programs
- Year-end shutdown
- Hybrid working environment with three days per week in the office
- Role-specific training
- Internal workshops
- Learning stipend
- Company-wide social events
- Team bonding activities
- Happy hours
- Team offsites
