Data Engineer Regulatory Reporting and Portfolio Intelligence
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 and optimize scalable data pipelines for regulatory data ingestion, transformation, and delivery. You will develop XML and REST API connectors, implement real-time data handlers, design cloud data models, write SQL transformations, establish data quality controls, support AWS migration, and translate compliance and risk requirements into reliable technical systems.
Requirements
- 3–5 years of professional experience in Data Engineering, ETL/ELT pipeline development, or systems integration
- Strong SQL expertise, including query optimization, complex transformations, and data modelling
- Proficiency in Python or a similar language for data pipelines, scripts, and data processing
- Experience designing and developing REST and SOAP API connectors
- Experience working with XML and JSON data formats
- Experience with AWS Redshift, Snowflake, Google BigQuery, or similar cloud data platforms
- Experience with cloud storage such as S3 or GCS
- Familiarity with Apache Airflow, Prefect, or equivalent orchestration tools
- Understanding of data modelling concepts and efficient schema design
- Experience with real-time or near-real-time data processing is a plus
- Knowledge of data quality frameworks and testing practices
- Strong problem-solving and debugging skills
- Ability to collaborate with technical and non-technical stakeholders
- Familiarity with regulatory reporting, transaction reporting, sanctions screening, KYC/AML, or portfolio monitoring
- Ability to interpret regulatory documentation and translate compliance and risk requirements into technical specifications
Responsibilities
- Build and optimize scalable data pipelines for regulatory data ingestion, transformation, and delivery
- Develop XML and REST API connectors for banking partners, regulatory feeds, internal systems, and risk and compliance platforms
- Implement real-time request handlers for transaction and portfolio data updates
- Design data models and transformations for regulatory filing and reporting requirements
- Encode sanctions lists, transaction thresholds, portfolio limits, and reporting deadlines into data logic and quality checks
- Design and maintain cloud data warehouse models for regulatory reporting, audit trails, and risk analytics
- Write SQL queries and transformations for compliance analysis, regulatory submissions, and audit trails
- Ingest and transform structured and semi-structured data from compliance and risk sources
- Establish data quality checks, monitoring, and alerting mechanisms
- Support migration from on-premises systems to AWS
- Document data pipelines, connectors, and technical architecture
- Collaborate with Compliance, MLRO, Risk, Product, and Data teams to operationalize compliance rules
- Evaluate data controls, monitoring, and quality checks through testing and validation
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