Senior Software Engineer (Data)

Revolut; Polska; On-site; PLN 180,000 - 260,000; Full time

Job summary

Revolut Ltd is hiring a Data Engineer to build and maintain scalable data platforms powering insights for analysts to C-level executives. You will collaborate with Product, Engineering, and Data Science to implement automated ETL, data pipelines, and governance across the organisation.

You will champion data quality, develop dashboards, and contribute to platform changes with best practices for testing, deployment, and monitoring."

Qualifications

• 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, XP.
• Demonstrated experience in custom ETL design, implementation, and maintenance; workflow orchestration with Airflow.
• Expertise in distributed data processing and query engines (Trino, Spark, Snowflake, BigQuery).

Responsibilities

• Designing, building, and maintaining efficient and reliable data platforms, streamlining end-to-end processes and automating workflows.
• Partnering with Product, Engineering, and Data Science teams to build a seamless data platform and translate concepts into practical solutions.
• Establishing and enforcing data standards, maintaining documentation, and managing a company-wide data registry.
• Training and supporting users, and communicating platform updates and insights through dashboards, bots, etc.
• Planning and executing organisation-wide platform changes with best practices for coding, testing, deployment, and maintenance.
• Leveraging data to guide all aspects of engineering work for insight-driven outcomes.

Skills

Python

SQL

Unix shell scripting

Airflow

Trino

Spark

Snowflake

BigQuery

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

NewRelic

Grafana

Prometheus

ELK

Job description

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 80+ 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.

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)

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.