Data engineer in finance

We are looking for a Senior Big Data Developer to join our team in building a modern data platform using Databricks and the Microsoft Azure ecosystem. In this role, you will be responsible for designing and developing scalable data solutions, implementing and optimizing ETL/ELT pipelines, and integrating data from multiple sources. If you are passionate about modern data engineering, AI-assisted development, and creating impactful data solutions, don't hesitate to apply!

• Design and develop data solutions using Databricks, Python, and PySpark
• Build and optimize ETL/ELT pipelines for batch and streaming data processing
• Implement and maintain medallion architecture using Delta Tables
• Integrate data from multiple sources, including SFTP files, Delta Tables, and Azure Event Hub
• Work with Azure services such as Azure Data Factory to support end-to-end data workflows
• Utilize AI-powered development tools to improve code quality, testing, documentation, and productivity

• At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role
• Strong hands-on experience with Python and PySpark
• Proven experience with Databricks, Delta Tables, and modern data architectures
• Practical knowledge of the Microsoft Azure ecosystem, including Azure Data Factory and Azure Event Hub
• Experience building and maintaining scalable ETL/ELT pipelines
• Advanced level of English
• Interest in modern technologies and experience using AI-assisted development tools in everyday work
• Будет плюсом: Familiarity with Elasticsearch; Strong analytical skills and a proactive approach to solving complex data-related challenges

• Great Place to Work
• Solid financial situation
• Contracts with the biggest brands
• Centre of internal trainings
• Many experts you can learn from
• Open and accessible management team
• Profit sharing
• Passion Sponsorship program
• Regular integration events and trips
• Comfortable and well-equipped offices
• MySii app
• Medical care