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For Companies At a Glance
- Tasks: Design and maintain a cutting-edge data platform for seamless data processing.
- Company: Join Revolut, a leading fintech company transforming how people manage their money.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a world-class tech team and make a real impact on millions of users.
- Qualifications: Degree in Computer Science or related field; experience with Python, SQL, and data platforms.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Revolut
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.
About The Role
Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.
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.
Up to shape what\’s next in finance? Let\’s get in touch.
What You’ll Be Doing
- 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
What You\’ll Need
- 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)
Benefits
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.
Important notice for candidates
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
- Only apply through official Revolut channels. We don’t use any third‑party services or platforms for our recruitment.
- Always double‑check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
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Software Engineer (Data) employer: Revolut
Contact Detail:
Revolut Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Data)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Revolut on LinkedIn. A friendly chat can give us insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the technical interview by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems relevant to data engineering. We want to show off our skills confidently!
✨Tip Number 3
Showcase our passion for data! During interviews, share personal projects or experiences that highlight our problem-solving abilities and how we’ve used data to drive decisions. It’s all about demonstrating our enthusiasm!
✨Tip Number 4
Don’t forget to apply through the official Revolut website! It’s the safest way to ensure our application gets seen. Plus, it shows we’re serious about joining their amazing tech team.
We think you need these skills to ace Software Engineer (Data)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer (Data) role. Highlight your experience with Python, SQL, and any relevant data platforms. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Revolut. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool projects related to data platforms or engineering, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back.
Apply Through Our Website: Remember to apply through our official website! It’s the best way to ensure your application gets to us directly. Plus, it helps us keep everything organised and secure.
How to prepare for a job interview at Revolut
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and Unix shell scripting. Brush up on your knowledge of distributed data processing tools like Spark and Trino, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or improved data platforms. Be ready to explain your thought process and how you tackled challenges, especially in areas like ETL design and workflow orchestration.
✨Understand Agile Methodologies
Since the role involves agile software development practices, be prepared to talk about your experience with TDD, CI/CD, and refactoring. Share how these practices have helped you deliver high-quality code efficiently.
✨Communicate Clearly
Revolut values collaboration across teams, so practice explaining complex concepts in simple terms. Think about how you would communicate platform updates or insights to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between tech and business.