We are looking for a Senior Data Engineer with specialized domain expertise in fraud detection, Anti-Money Laundering (AML), or transaction-monitoring systems to establish data-quality foundations for decision engines.
Our client is a fast-growing European FinTech company in the Business Spend Management space - providing corporate cards and related financial products to SME and mid-sized businesses across the EU and UK in a regulated environment.
You will embed directly into a product squad as a hands-on Individual Contributor (IC).
Key Responsibilities:
- Architect and build robust data-quality frameworks specifically designed to power decision engines.
- Design, scale, and maintain reliable, high-throughput production data pipelines.
- Build infrastructure and workflows that enable fast, seamless deployment of fraud and transaction-monitoring rules.
- Bring deep domain knowledge in Fraud, AML, and Transaction Monitoring to production data engineering workflows.
- Multiply the output and quality of your squad while sharing data engineering patterns and best practices across the organization.
Requirements:
- Strong, senior-level 5+ years expertise in Python for data engineering and production pipeline development.
- Experience/background in Fraud, AML, or Transaction-Monitoring systems.
- Proven track record of establishing data-quality foundations for automated decisioning systems.
- Extensive experience building production data pipelines and supporting rapid rule deployment workflows.
Nice-to-Have Skills:
- Hands-on experience with Airflow, SQL, PostgreSQL, and Google BigQuery (standard stack for data/analytics workloads).
- Experience working in hybrid cloud environments (AWS primary + GCP analytics).
- Familiarity with modern engineering workflows (Linear, GitHub, Notion, Slack) and AI-assisted development (Claude Code, GitHub Copilot).
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Skills Required
- 5+ years expertise in Python for data engineering and production pipeline development
- Experience or background in Fraud, AML, or Transaction-Monitoring systems
- Proven track record of establishing data-quality foundations for automated decisioning systems
- Extensive experience building production data pipelines and supporting rapid rule deployment workflows
What We Do
N-iX is a global software solutions and engineering services company that helps world’s leading organizations turn challenges into lasting business value, operational efficiency, and revenue growth using advanced technology. Whether you need to build a custom solution, modernize your digital product or acquire extra tech expertise - we have the experience and capabilities to ensure your success. With over 2,000 professionals in 25 countries across Europe and the Americas, N-iX offers expert solutions in cloud, data analytics, embedded software, IoT, AI, machine learning, and other tech domains. Being in business for over two decades, we have worked with dozens of industry-leading enterprises and Fortune 500 companies creating value across a wide variety of sectors, including finance, manufacturing, supply chain, retail, e-commerce, healthcare, and more. Our unique combination of business domain expertise and technical know-how enables us to effectively collaborate with ISVs, tech companies, and enterprises of all sizes. Thanks to the strong tech ecosystem and partnerships with AWS, GCP, Microsoft, SAP, OpenText, Snowflake, and others, we bring extra speed, scale and efficiency to more than 160 organizations across the globe. N-iX is recognized by numerous industry awards, such as CRN Solution Provider 500, Global Outsourcing 100 by IAOP, ISG Provider Lens™, Modern Application Development services providers by Forrester, etc
