Data Engineer

Toolkit - Orchestration: Airflow (Cloud Composer) is our backbone. - Cloud Power: The full GCP suite (GKE, Cloud Run, Functions, Artifact Registry). - Smart Ingestion: We leverage DLT (Data Load Tool) to build seamless and scalable data pipelines. - Modeling Quality: We use dbt at scale, integrating Duck DB to enforce bulletproof Data Contracts. - Dev Ops Culture: Dockerized environments and solid CI/CD are our standard in Github Actions. What Youll Do - Architect Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints). - Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents. - Business Partnership: Work closely with stakeholders to identify high-impact opportunities. If you see a better way to do things, you have the autonomy to lead it. - Engineering Excellence: Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure our platform is a benchmark

for scalability. - Growth Mentorship: Benefit from a personalized 30/60/90 day plan designed to help you thrive from day one. About You - Python SQL Mastery: You have a deep command of both (+5 years of experience). - Agile Problem Solver: You thrive on unexpected daily challenges, delivering smart technical solutions at speed and iterating them into robust, production-grade systems. - Business Partner: You are proactive and business-curious, you want to understand the impact of your code on the bottom line. - You are fluent in English (we are a global team). Bonus Points - Hands-on experience with LLMs, Vector Databases, or AI Agents. - Deep knowledge of Duck DB or DLT. - Strong foundations in Dimensional Modeling and Data Warehousing. - Spanish language skills (a plus for office life in Madrid). What We Offer - Competitive Salary + Performance-based discretionary bonus. - Vibrant Culture: Join a collaborative environment where Data

Engineers, Data Scientists, Analytics Engineers, and Analysts work as one. - Work-Life Balance: A modern hybrid model in our Madrid office to keep the team spirit alive while respecting your focus time. - Open Source DNA: We follow Open Source principles internally and encourage you to contribute to external projects. - Continuous Learning: Personal development through certifications and specialized training. Application Excited about the role but dont tick every single box? Apply anyway At Ebury, we value potential, proactivity, and a growth mindset over a perfect checklist. J-18808-Ljbffr

Data Engineer Drive our AI Revolution Data Ecosystem Location: Madrid (Hybrid: 4 days office / 1 day WFH) Stack: Python, SQL, Airflow, dbt, Duck DB, GCP, DLT, Docker. Why Ebury? At Ebury, we dont just move money we move the boundaries of what Fintech can achieve. Our strategic growth is powered by Data, and we are looking for a Data Engineer who wants to be at the heart of this transformation. We arent looking for Jira ticket closers. We want problem solvers, tech enthusiasts, and proactive engineers who want to understand the why and for what behind the data and propose high-value projects that move the needle for the business. The Challenge: Beyond Pipelines to AI-Ready Systems We are at an inflection point. Beyond maintaining a robust platform, we have a massive appetite for Machine Learning, LLMs, and Agents. Your mission wont just be moving bytes it will be building the infrastructure that enables Ebury to lead the Gen-AI revolution in the financial sector. Your Cutting-Edge