Senior Data Engineer

About the Job The AML AI Engineering Squad is a cross-functional team within the Risk Compliance tribe. Our team is responsible for developing cutting-edge data products and ML solutions that power Transaction Monitoring and protect our merchant base from Money Laundering and Financial Crime. We combine automation, AI, and engineering excellence to build innovative products that empower Risk and AML teams to work smarter, faster, and more efficiently. The Senior Data Engineer role is critical for creating a robust, high-quality data foundation that drives efficiency, powers AI-driven automation, and enables data-driven decisions for our Risk and AML teams. You will build and maintain data pipelines in our system, ensuring analysts, product managers, and AI systems have trusted, accessible data. Join us to shape the future of financial safety and make a lasting impact! What You'll Be Doing Build and operate Python-based, production-grade data pipelines that power AI automation and ML workflows (Risk Decision Center / SAR Studio), including near real-time datasets and aggregations Ensure data quality and reliability end-to-end through validations, testing, monitoring, alerting, and clear SLAs/ownership Create and maintain core data models and aggregations for Risk and AML decisioning and analytics Support Regulatory Reporting by building scalable reporting pipelines, handling ad-hoc regulator requests, and ensuring traceability through audit trails, versioning, and reproducible outputs Improve and document our data foundations and governance (architecture, dependencies, dataset definitions/lineage) Collaborate closely with Data Platform and a cross-functional squad (data scientists, software engineers, analysts) to align on requirements and deliver safely in production You'll Be Great for This Position If You Have Must Have 4+ years of experience as a Data Engineer, with a focus on building and deploying scalable data solutions Strong proficiency in Python and PySpark, with solid software development engineering skills for designing computationally effective solutions in large-scale production Experience with AWS technologies (S3, EKS, Keyspaces, Athena) Experience building and maintaining data pipelines, with a good understanding of API design, containers (Docker), and version control (Git) Self-drive, proactiveness, and high adaptability in a fast-paced environment, with a commitment to data governance, quality, and ownership. Nice to Have Previous experience with GraphDBs Previous experience in FinTech or a cross-functional setup We'd love to hear from you even if you don't tick every box — what matters most to us is how you think, collaborate, and grow. If you meet the core requirements, we encourage you to apply! Our Values Ways of Working Someone who values collaboration and enjoys working across disciplines Comfortable working autonomously in a dynamic environment Curiosity about AI technology and an excitement to power SumUp's next generation of automated tools, with the ability to translate complex concepts for non-technical stakeholders A commitment to data governance, quality, and ownership Why You Should Join SumUp We're a truly global team of 3,000+ people from 92+ countries, spread across 4 continents You'll have the opportunity to make an impact as we work in flat hierarchies You'll attend global offsites and regular team events You'll receive a budget for attending conferences and external training We offer a corporate pension scheme, 28 days' paid leave, free German and yoga classes, subsidised Urban Sports Club membership and other great benefits Diversity Inclusion at SumUp At SumUp, we believe that diverse teams build better products and create a better world. We are committed to fostering an inclusive culture where everyone — regardless of gender, background, orientation, or identity — feels welcomed, valued, and empowered to do their best work. We actively support underre ... (truncated, view full listing at source)