Senior Data Engineer

Навыки

• Airflow
• AWS
• BigQuery
• Data Quality
• Google Cloud
• GitHub
• Notion

О компании и продукте

• 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

Задачи

• 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
• Senior Data Engineer (#4508529101) - Office/Remote | N-iX
• Search Job
• Senior Data Engineer
• Senior Data Engineer (#5645)
• European Union
• Work type
• Office/Remote
• Technical Level
• Job Category
• Software Development
• You will embed directly into a product squad as a hands-on Individual Contributor (IC)

Требования

• 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)
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