Senior Data Engineer

About this role

<p data-path-to-node="15">We are looking for a <strong>Senior Data Engineer</strong> with specialized domain expertise in fraud detection, Anti-Money Laundering (AML), or transaction-monitoring systems to establish data-quality foundations for decision engines.<br>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.<br>You will embed directly into a product squad as a hands-on Individual Contributor (IC).&nbsp;</p> <p data-path-to-node="18"><strong>Key Responsibilities:</strong></p> <ul> <li data-path-to-node="19,0,0">Architect and build robust data-quality frameworks specifically designed to power decision engines.</li> <li data-path-to-node="19,1,0">Design, scale, and maintain reliable, high-throughput production data pipelines.</li> <li data-path-to-node="19,2,0">Build infrastructure and workflows that enable fast, seamless deployment of fraud and transaction-monitoring rules.</li> <li data-path-to-node="19,3,0">Bring deep domain knowledge in Fraud, AML, and Transaction Monitoring to production data engineering workflows.</li> <li data-path-to-node="19,4,0">Multiply the output and quality of your squad while sharing data engineering patterns and best practices across the organization.</li> </ul> <p data-path-to-node="21"><strong>Requirements:</strong></p> <ul> <li data-path-to-node="23,0,0">Strong, senior-level 5+ years expertise in Python for data engineering and production pipeline development.</li> <li data-path-to-node="23,1,0">Experience/background in Fraud, AML, or Transaction-Monitoring systems.</li> <li data-path-to-node="23,2,0">Proven track record of establishing data-quality foundations for automated decisioning systems.</li> <li data-path-to-node="23,3,0">Extensive experience building production data pipelines and supporting rapid rule deployment workflows.</li> </ul> <p data-path-to-node="24"><strong>Nice-to-Have Skills:</strong></p> <ul> <li data-path-to-node="25,0,0">Hands-on experience with Airflow, SQL, PostgreSQL, and Google BigQuery (standard stack for data/analytics workloads).</li> <li data-path-to-node="25,1,0">Experience working in hybrid cloud environments (AWS primary + GCP analytics).</li> <li data-path-to-node="25,2,0">Familiarity with modern engineering workflows (Linear, GitHub, Notion, Slack) and AI-assisted development (Claude Code, GitHub Copilot).</li> </ul><div class="content-conclusion"><p><strong>We offer*:</strong></p> <ul> <li>Flexible working format - remote, office-based or flexible</li> <li>A competitive salary and good compensation package</li> <li>Personalized career growth</li> <li>Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)</li> <li>Active tech communities with regular knowledge sharing</li> <li>Education reimbursement</li> <li>Memorable anniversary presents</li> <li>Corporate events and team buildings</li> <li>Other location-specific benefits</li> </ul> <p>*not applicable for freelancers</p></div>