Data Engineer II
Nium provides global payments infrastructure for businesses, banks, fintechs, marketplaces, payroll providers, and travel companies. Its platform supports multi-currency accounts, global payouts, foreign exchange, card issuing, account verification, APIs, and stablecoin-backed cards.
Projects
About Nium
Nium is a global payments infrastructure company that helps businesses collect, hold, convert, and disburse funds across borders. Its products include multi-currency accounts, global payouts, foreign exchange, physical and virtual card issuing, bank account verification, the Nium Portal, APIs, and stablecoin-backed card programs. Nium serves banks, financial institutions, money transfer operators, marketplaces, payroll providers, enterprises, creators, airlines, hotels, and online travel agencies.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and optimise scalable, maintainable, and high-performance data pipelines and workflows. You will ingest, transform, and deliver high-volume data from structured and unstructured sources, including MySQL databases and real-time Kafka streams. You will design and maintain performant data models in Redshift and optimise SQL queries to support analytics and reporting workloads. You will contribute to the migration from on-premises systems to AWS cloud and help evolve the data architecture with new ideas and improvements. You will collaborate with cross-functional, globally distributed teams to translate business requirements into robust technical solutions. You will embed data quality, reliability, observability, and security as first-class principles across the data platform, support data solutions operating in a mission-critical payments environment, and continuously learn and share knowledge to raise standards across data governance, quality, and security practices.
Requirements
- Minimum 4 years of professional experience in Data Engineering or a related role
- Strong SQL expertise, including query optimisation, 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
- Collaborative mindset, strong problem-solving skills, critical thinking, and willingness to take ownership and initiative
- Nice to have: experience contributing to large-scale cloud migration initiatives
- Nice to have: knowledge of real-time data streaming using Kafka
- Nice to have: exposure to CI/CD pipelines and infrastructure-as-code for data platforms
- Nice to have: interest in exploring AI/ML use cases within modern data ecosystems
- Nice to have: understanding of the payments domain or fintech data challenges
Responsibilities
- Build and optimise scalable, maintainable, and high-performance data pipelines and workflows
- Ingest, transform, and deliver high-volume data from 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 the 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
Benefits
- Performance bonuses
- Sales commissions
- Equity for specific roles
- Recognition programs
- Medical coverage
- 24/7 employee assistance program
- Generous vacation programs including year-end shut down
- Flexible hybrid working environment (3 days per week in the office)
- Role-specific training
- Internal workshops
- Learning stipend
- Company-wide social events, team bonding activities, happy hours, and team offsites