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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.