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- Tasks: Design and maintain a cutting-edge data platform while collaborating with cross-functional teams.
- Company: Join Revolut, a global leader in financial technology, empowering 50+ million customers since 2015.
- Benefits: Enjoy a flexible work environment, competitive salary, and a culture recognized as a Great Place to Work.
- Why this job: Be part of a world-class tech team building innovative solutions that simplify finance for millions.
- Qualifications: Bachelor's or Master's in Computer Science; proficiency in Python, SQL, and Unix Shell scripting required.
- Other info: Diversity is key at Revolut; we welcome applicants from all backgrounds to foster innovation.
The predicted salary is between 36000 - 60000 £ per year.
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Frontend and Mobile Recruitment Specialisation Lead @ Revolut
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 50+ 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 10,000+ 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 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 innovative app, there’s nothing they can’t do. Our Technology team isn’t here to fix legacy systems — it’s here to build world-class financial features from the ground up that\’ll be used by millions of people around the world.
At Revolut, we pride ourselves on how truly data-driven every department of the company is. Data platform engineers are the enablers of this data-centric culture, providing the infrastructure and tools that power insight generation and decision-making for everyone, from entry-level analysts to C-level executives.
To manage the exponential growth in data size and related complexity, we\’re seeking the most talented and passionate engineers – exceptional builders and strong collaborators.
What You’ll Be Doing
- Designing, building, and maintaining efficient and reliable data platform, streamlining end-to-end processes and automating workflows.
- Partnering with cross-functional teams (product, engineering, data science, analytics) 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
- Bachelor\’s or Master\’s degree in Computer Science or a 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.
- Extensive experience working with distributed data processing and query engines (e.g., Trino, Spark, Snowflake, BigQuery).
Nice to have
- Proven 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).
- Experience building data platforms using Spark, Trino, Presto, Flink, or similar, with a focus on data quality, SQL performance tuning, and data warehousing principles.
- 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).
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 every day. 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.
We won\’t ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately. #J-18808-Ljbffr
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
Familiarize yourself with the specific technologies mentioned in the job description, such as Python, SQL, and tools like Airflow. Being able to discuss your experience with these technologies during the interview will show that you're a strong fit for the role.
✨Tip Number 2
Highlight any experience you have with agile software development practices. Be prepared to share examples of how you've implemented TDD, CI/CD, or refactoring in your previous projects, as this aligns closely with what Revolut is looking for.
✨Tip Number 3
Demonstrate your understanding of data architecture and data mesh principles. Prepare to discuss how you've applied these concepts in past roles, as this knowledge is crucial for building the data platform at Revolut.
✨Tip Number 4
Showcase your collaborative skills by discussing experiences where you've worked with cross-functional teams. Revolut values strong collaboration, so sharing specific examples will help you stand out as a candidate who can thrive in their environment.
We think you need these skills to ace Software Engineer (Data)
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Software Engineer (Data) position. Understand the key responsibilities and required skills, such as proficiency in Python, SQL, and experience with data platforms.
Tailor Your CV: Customize your CV to highlight relevant experiences and skills that align with the job requirements. Emphasize your background in data engineering, agile practices, and any specific tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven solutions and your ability to collaborate with cross-functional teams. Mention specific projects or experiences that demonstrate your expertise in building data platforms.
Highlight Your Achievements: In both your CV and cover letter, include quantifiable achievements that reflect your impact in previous roles. Use metrics to illustrate how your contributions improved processes or outcomes, especially in data management and engineering.
How to prepare for a job interview at Revolut
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, SQL, and Unix Shell scripting. Bring examples of past projects where you implemented these skills, especially in data platform development or ETL processes.
✨Demonstrate Collaboration Experience
Revolut values strong collaboration across teams. Share specific instances where you partnered with product, engineering, or data science teams to achieve a common goal, highlighting your role in those collaborations.
✨Understand Data Architecture Principles
Familiarize yourself with modern data architecture concepts, including data mesh principles. Be ready to discuss how you've applied these principles in previous roles or how you would approach them in the context of Revolut's data platform.
✨Prepare for Behavioral Questions
Expect questions about your problem-solving abilities and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on your adaptability and innovative thinking in fast-paced environments.
