Requirements: English
Company: Revolut
Region: Wysokie Mazowieckie , Podlaskie Voivodeship
More visibility, more control, and more freedom. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. Our Technology team isnt just one of the best in the industry. It's one of the best in the world. And were proud of it. Its our driving force our engine. From building a new financial backend to creating an innovative app, theres nothing they cant do. Our Technology team isnt here to fix legacy systems its here to build world-class financial features from the ground up that'll be used by millions of people around the world. 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. 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 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 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. Demonstrated experience in custom ETL design, implementation, and maintenance, along with workflow orchestration using tools like Airflow Trino, Spark, Snowflake, BigQuery)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 Familiarity with notebook-based data science workflows and proficiency in using monitoring and logging tools (NewRelic, Grafana, Prometheus, ELK). Connect with tech If you want to get to know how we're building a global fintech, register for the livestream of our RevDev Tech Meetup on 31 March to catch exclusive insights from our top engineers. Our Revoluters are a priority, and thats why in 2021 we launched our inaugural DI Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. Were 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.