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Nium

Posted 2 months ago

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Data Engineer II

MaltaHybridFull-time

AI Summary

Data Engineer to build and optimise scalable data pipelines, migrate from on-prem to AWS, and collaborate with cross-functional teams to empower data-driven decisions in a payments environment.

About this role

Nium is the global infrastructure company powering real-time cross-border payments. Founded to deliver the payments infrastructure of tomorrow, today, we are building a programmable, borderless, and compliant money-movement layer that powers transactions between people, businesses, and intelligent systems — enabling banks, fintechs, payroll providers, travel platforms, marketplaces, and other global enterprises to move money instantly, anywhere in the world.

Co-headquartered in San Francisco and Singapore, with offices in 14 markets and team members across 20+ countries, we take pride in a culture anchored in Keeping It Simple, Making It Better, and Winning Together. 2025 was the strongest year in our 10-year history, with record revenue, record transaction volumes, and EBITDA profitability — and we are now entering one of the most dynamic chapters in our journey. We believe the best work happens face-to-face, and we operate a hybrid model with three in-office days per week to strengthen collaboration, alignment, and innovation.

We move over $50B annually across a network that spans 190+ countries, 100 currencies, and 100 real-time corridors. We power fast payouts to accounts, wallets, and cards; enable local collections in 35 markets; and support card issuance in 34 countries — all backed by licenses across 40+ markets.

With over $300M raised to date, Nium offers ambitious builders the opportunity to shape the future of global money movement — at scale.

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 Malta-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.

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

  • Minimum 4 years of professional experience in Data Engineering or a related role.
  • Strong SQL expertise, including query optimisation, complex transformations, and datamodelling.
  • 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.
  • Nice to have

  • 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.
  • Skills

    AirflowAWSCI/CDData GovernanceData ModellingData PipelinesDbtETLGlueInfrastructure As CodeKafkaLambdaMySQLObservabilityPandasPythonQuery OptimisationRedshiftS3SecuritySQLSQL Analytics

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