Software Engineer (Data)

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.

As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

• A bachelor's or master's degree in computer science or related field, or equivalent practical experience
• Proficiency in Python, SQL, and Unix Shell scripting
• Experience implementing agile software development best practices, including TDD, refactoring, CI/CD, and XP
• Demonstrated experience in custom ETL design, implementation, and maintenance, along with workflow orchestration using tools like Airflow
• Expertise in distributed data processing and query engines (e.g., Trino, Spark, Snowflake, BigQuery)

Nice to have:

• Experience building large-scale infrastructure applications and writing maintainable code in multiple programming languages
• Expertise in cloud (GCP, AWS), containerisation, and infrastructure as code (Docker, Kubernetes, Terraform)
• An understanding of modern data architecture with experience implementing data mesh principles
• Familiarity with notebook-based data science workflows and proficiency in using monitoring and logging tools (NewRelic, Grafana, Prometheus, ELK)

• Designing, building, and maintaining efficient and reliable data platforms, streamlining end-to-end processes and automating workflows
• Partnering with cross-functional teams (Product, Engineering, Data Science) to build and enhance a seamless data platform, translating abstract concepts into practical solutions
• Establishing and enforcing data standards, maintaining comprehensive documentation, and managing a company-wide data registry
• Training 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 maintenance
• Leveraging data to guide all aspects of engineering work, ensuring insight-driven outcomes