More visibility, more control, and more freedom. Since ****, Revolut has been on a mission to deliver just that. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. We're looking for a Data Engineer to provide the infrastructure and tools that power insight generation and decision?making for everyone at Revolut, from entry?level analysts to C?level executives. You'll use your exceptional building and collaboration skills to uphold our data-centric culture. What You'll Be Doing Designing, building, and maintaining efficient and reliable data platforms, streamlining end?to?end processes and automating workflowsPartnering with cross?functional teams (Product, Engineering, Data Science) to build and enhance a seamless data platform, translating abstract concepts into practical solutionsEstablishing and enforcing data standards, maintaining comprehensive documentation, and managing a company?wide data registryTraining and supporting users, and communicating platform updates and insights through various channels (dashboards, bots, etc.)Planning and executing organisation?wide platform changes, ensuring consistent best practices for coding, testing, deployment, and maintenanceLeveraging data to guide all aspects of engineering work, ensuring insight?driven outcomes

What You'll Need




A bachelor's or master's degree in computer science or related field, or equivalent practical experienceProficiency in Python, SQL, and Unix shell scriptingExperience implementing agile software development best practices, including TDD, refactoring, CI/CD, and XPDemonstrated experience in custom ETL design, implementation, and maintenance, along with workflow orchestration using tools like AirflowExpertise in distributed data processing and query engines (e.
Trino, Spark, Snowflake, Big Query) Nice to have Experience building large?scale infrastructure applications and writing maintainable code in multiple programming languagesExpertise in cloud (GCP, AWS), containerisation, and infrastructure as code (Docker, Kubernetes, Terraform)An understanding of modern data architecture with experience implementing data mesh principlesFamiliarity with notebook?based data science workflows and proficiency in using monitoring and logging tools (New Relic, Grafana, Prometheus, ELK) Building a general financial super app isn't enough. We're not just doing this because it's the right thing to do. We're doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers.

📌 Senior Software Engineer (Ribamontán al Mar)
🏢 Revolut
📍 Ribamontán al Mar