Backend Software Engineer (Python)

at  Revolut

Office: Berlin · London · Madrid · Porto
Remote: Germany · Poland · Portugal · Romania · Spain · UK
About Revolut
People deserve more from their money. More visibility, more control, more freedom. And since 2015, Revolut has been on a mission to deliver just that. With an arsenal of awesome products that span spending, saving, travel, transfers, investing, exchanging and more, we’ve helped 40+ million customers get more from their money. And we’re not done yet.
As we continue our lightning-fast growth,‌ two things are essential to continuing our success: our people and our culture. We’ve been officially certified as a Great Place to Work™ in recognition of our outstanding employee experience! So far, we have 10,000+ people working around the world, from our great offices or remotely, on our mission. And we’re looking for more. We want brilliant people that love building great products, love redefining success, and love turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
Our Technology team isn’t just one of the best in the industry. It’s one of the best in the world. And we’re proud of it. It’s our driving force — our engine
From building a new financial backend to creating an award-winning app, there’s nothing (and we mean nothing) our tech team can’t do.
Our Technology team isn’t here to fix legacy systems — it’s here to build world-class financial products from the ground up.
We’re looking for a Python Backend Engineer to join our Market Making team.
As an Engineer at Revolut, you’ll never work alone. You’ll work alongside brilliant minds, collaborating with Data Scientists, Analysts, and Product Owners to create impressive solutions for our customers.
Watch this video to discover how our Engineering department is structured and what we expect from our brilliant engineers. If you’re up for the challenge of shaping the future of finance, let’s get in touch.

What you’ll be doing

• Building APIs, making sure they’re properly designed and scaled according to our needs
• Creating pipelines to pull information from production services into our data warehouse, powering reporting, data science, and analytics
• Writing event consumers to build new data models for new flows and processes

What you’ll need

• 5+ years of experience working as a Software Engineer
• 3+ years of engineering experience with Python as your primary language
• Fluency in Python, SQL, and other OOPLs
• A practical understanding of distributed systems
• Experience developing with a product-driven mindset in a fast-paced environment
• The ability to write concurrent code in IO/CPU bound situations
• Experience with containerisation, IaC, CI/CD, monitoring, and alerting
• Experience with trading API development and integration

Nice to have

• Trading environment experience, such as in an investment bank or working with hedge funds
• Familiarity with prototyping and sketching
• Multiple side projects or open source contributions
• Exposure to GCP
• Low-latency, high-throughput data processing experience
• Experience with Data flow solutions, such as Airflow

Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. 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. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Refer to our Data Privacy Statement for Candidates for details on our data handling practices during your application.

• Building APIs, making sure they’re properly designed and scaled according to our needs
• Creating pipelines to pull information from production services into our data warehouse, powering reporting, data science, and analytics
• Writing event consumers to build new data models for new flows and processe