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 are seeking the most talented and passionate engineers - exceptional builders and strong collaborators.
What you’ll be doing
- Optimising data infrastructure and processes
- Designing, building, and maintaining efficient and reliable data platform, streamlining end-to-end processes and automating workflows.
- Collaborating and developing data solutions
- Partnering with cross-functional teams (product, engineering, data science, analytics) to build and enhance a seamless data platform
- Translating abstract concepts into practical solutions.
- Ensuring data quality and governance
- Establishing and enforcing data standards, maintaining comprehensive documentation, and managing a company-wide data registry
- Driving platform adoption and support
- Training and supporting users, and communicating platform changes through various channels (dashboards, bots, etc.)
- Implementing and managing complex platform changes
- Planning and executing organisation-wide platform changes, ensuring consistent best practices for coding, testing, deployment, and maintenance
- Solving large-scale data infrastructure problems
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
- Proficiency in large-scale infrastructure development
- Expertise in cloud and containerisation
- Extensive experience with commercial cloud providers (GCP, AWS) and infrastructure-as-code tools (Docker, Kubernetes, Terraform, Helm).
- Excellent data platform and warehousing skills
- Experience building data platforms using Spark, Trino/Presto, Flink, or similar, with a focus on data quality, SQL performance tuning, and data warehousing principles
- Experience with data science workflows and monitoring
- Familiarity with notebook-based data science workflows and proficiency in using monitoring and logging tools (NewRelic, Grafana, Prometheus, ELK).
- Knowledge of modern data architectures
- Experience implementing data mesh principles
Compensation range
- Vilnius: €5,300 - €8,000 gross monthly*
- Lithuania: €5,300 - €8,000 gross monthly*
- Other locations: Compensation will be discussed during the interview process
_ 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._
or continue with email
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 are seeking the most talented and passionate engineers - exceptional builders and strong collaborators.
What you’ll be doing
- Optimising data infrastructure and processes
- Designing, building, and maintaining efficient and reliable data platform, streamlining end-to-end processes and automating workflows.
- Collaborating and developing data solutions
- Partnering with cross-functional teams (product, engineering, data science, analytics) to build and enhance a seamless data platform
- Translating abstract concepts into practical solutions.
- Ensuring data quality and governance
- Establishing and enforcing data standards, maintaining comprehensive documentation, and managing a company-wide data registry
- Driving platform adoption and support
- Training and supporting users, and communicating platform changes through various channels (dashboards, bots, etc.)
- Implementing and managing complex platform changes
- Planning and executing organisation-wide platform changes, ensuring consistent best practices for coding, testing, deployment, and maintenance
- Solving large-scale data infrastructure problems
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
- Proficiency in large-scale infrastructure development
- Expertise in cloud and containerisation
- Extensive experience with commercial cloud providers (GCP, AWS) and infrastructure-as-code tools (Docker, Kubernetes, Terraform, Helm).
- Excellent data platform and warehousing skills
- Experience building data platforms using Spark, Trino/Presto, Flink, or similar, with a focus on data quality, SQL performance tuning, and data warehousing principles
- Experience with data science workflows and monitoring
- Familiarity with notebook-based data science workflows and proficiency in using monitoring and logging tools (NewRelic, Grafana, Prometheus, ELK).
- Knowledge of modern data architectures
- Experience implementing data mesh principles
Compensation range
- Vilnius: €5,300 - €8,000 gross monthly*
- Lithuania: €5,300 - €8,000 gross monthly*
- Other locations: Compensation will be discussed during the interview process
_ 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._
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