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Staff Data Platform Engineer

Moonpay

Estimated Salary: $120K-$200K
Location: Barcelona / Madrid / Lisbon / Cape Town / Bucharest / Krakow
Hi, we’re MoonPay. We’re here to onboard the world to the decentralized economy. Why? Because crypto and blockchain aren’t just technologies—they’re tools for global financial empowerment. They give people control over their money, their digital assets, and their future, unlocking opportunities that traditional systems have kept out of reach. What we do At MoonPay, we’re building the infrastructure that powers this new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods like cards, Apple Pay, PayPal, Revolut and Venmo. We provide simple tools to send, receive, and manage stablecoins, so anyone can participate in the crypto economy confidently. Trusted by nearly 30 million customers and over 500 companies, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide. We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. And we’re committed to doing it right—fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia—because trust and compliance are non-negotiable. But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be. If you believe financial freedom should be for everyone—if you believe in building a fairer, more open financial system—we want you with us. To build systems that benefit all, we need contributions from all, regardless of background. Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal. 🌔 About the Opportunity This is a hands-on technical leadership role with the opportunity to shape the future of our data platform. You will be responsible for designing and building the core systems to unlock value from our data as we grow.  We are looking for a passionate engineer who thrives on solving complex challenges, from high-level architectural design down to implementation. Your impact will come from tackling technical problems directly while also mentoring the team and influencing the long-term vision. 🚀 What you will do As a Staff Data Engineer on our Data Platform team, you'll be at the forefront of shaping our data platform. You'll be a key technical leader and contributor, shaping the future of how data is used. Your work will involve building and enhancing the core infrastructure and services that empower other developers and our data users. Day-to-day, you will: * Architect, design, and develop our data platform capabilities. This means getting hands-on to build the robust foundations our data and AI capabilities rely on. Including real-time streaming, orchestration, data warehousing and governance. We value deep expertise in at least two of these core areas. * Actively contribute to our technical vision and roadmap,  including the estimation, planning, and execution of complex data platform projects, including new service integrations and major infrastructure upgrades * Contribute and improve our existing data platform codebase, data pipelines, and Infrastructure as Code (IaC), focusing on scalability, reliability, performance, and cost-effectiveness * Collaborate across engineering and analytics teams to deliver reliable platform capabilities that directly empower them, and to ensure these services are well-adopted and impactful * Work closely with engineers, analysts, and data scientists to understand their needs, define clear requirements, and develop effective implementation plans for platform enhancements * Write well-tested, high-quality, and performant code for data processing, platform automation, and infrastructure management As a Staff Data Engineer, you will also: * Lead technical initiatives for the data platform from an engineering perspective, partnering effectively with stakeholders to drive these from concept through to successful delivery and adoption * Mentor and coach engineers and other technical team members, helping to elevate their skills and fostering best practices in data engineering and system design * Champion high standards for code quality, testing, and documentation within the data platform, and proactively identify and strategize on managing technical debt. * Define and contribute to our overall data engineering standards, patterns, and best practices, including areas like data modeling, pipeline design, IaC, monitoring, and alerting for our data systems 💻 What you'll be working on Within our Data Platform team you will partner and collaborate across our Platform, Security and Data teams to shape and develop Moonpay’s data capabilities. Key Technologies you'll use daily: * Primarily Google Cloud Platform (GCP) – think Kubernetes, Kafka, Pub/Sub, Dataflow, Airflow, Cloud Storage, Datadog. (Experience with AWS/Azure is also great). * Languages: we primarily use Python, Terraform, Bash, SQL Types of projects and systems you'll focus on: * Real-Time Event Streaming: Enhancing and managing our infrastructure for handling high-volume, low-latency event streams * Shared Data Tooling & Frameworks: Creating reusable libraries, APIs, and services that make it easier and faster for other teams to build data-driven applications. * Core Data Pipelines: Building and scaling the systems that ingest, process, and make data available from various sources. * Platform Automation & Observability: Improving how we deploy, monitor, and manage our data infrastructure. * Data Governance & Quality Systems: Developing tools and processes to ensure our data is compliant, reliable, secure, and well-documented. * Data Warehousing: Designing, building, and optimizing how we store and model data for analytics and reporting. * ML Platform Enablement: Building and supporting the underlying infrastructure and data pipelines that our Machine Learning teams need. 🧑‍🚀 About You You are a seasoned engineer with a passion for building robust, scalable, and high-impact data solutions. You thrive in a collaborative environment and are driven to elevate the entire team's capabilities. Your technical expertise is matched by your ability to influence, mentor and lead. We’re looking for someone who brings: * A history of building beloved data platforms. You have designed and delivered shared services that your internal users (engineers, analysts, scientists) view as products that accelerate their work and reduce their cognitive load * Proven technical leadership driving data platform architecture, and influencing technical roadmaps * Deep, hands-on experience with real-time/event-driven systems (e.g., Kafka, Pub/Sub), data warehousing/modeling, and orchestration tools (e.g., Airflow) to create reusable patterns for data consumers * Mastery of Infrastructure as Code (IaC) (e.g., Terraform) for managing complex, production-grade data infrastructure * A team first attitude, you enjoy mentoring others and sharing knowledge  because you believe that rising tides lift all boats * A track record of building platform capabilities that enable at least one of: self-service, real-time analytics, robust data governance * A continuous drive to stay at the forefront of data engineering technologies and platform best practices, championing their adoption to drive innovation.
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