About [Employer hidden — sign up to reveal]

People deserve more from their money. Since 2015, [Employer hidden — sign up to reveal] 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, our people and culture are essential. 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.

About the role

Our Technology team builds the systems and experiences that keep [Employer hidden — sign up to reveal] moving. We're looking for a Data Engineer to provide the infrastructure and tools that power insight generation and decision-making for everyone at [Employer hidden — sign up to reveal], 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)

Compensation range

Poland: PLN28,300 - PLN40,000 gross monthly. Other locations: Compensation will be discussed during the interview process. Final compensation will be determined based on the candidate's qualifications, skills, and previous experience.

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 [Employer hidden — sign up to reveal] 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 [Employer hidden — sign up to reveal] emails, with an [Employer hidden — sign up to reveal].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.

By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with [Employer hidden — sign up to reveal] may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with [Employer hidden — sign up to reveal]'s Candidate Privacy Notice.