Junior Data Engineer, Power BI

• Work with a team of technology experts on challenging projects across various industries
• Design and develop clients’ Azure Data Platforms
• Migrate SSAS cube objects and SSIS pipelines from on-premises SQL Server to Azure Cloud Resources
• Ensure data integrity, completeness, and operational readiness of data processes
• Improve UI/UX, unify logging, set up monitoring and alerts
• Automate Power BI reports and workspace management
• Establish backup strategies, cost management, and documentation
• Design and develop universal data platforms for global aerospace companies using Azure and Databricks
• Design platform architecture and processes and support technology selection
• Implement data catalogs using Databricks and Apache Spark/PySpark
• Develop secure integration solutions and data quality monitoring using Delta Live Table tests
• Write advanced SQL queries and develop database procedures
• Create Power BI data visualizations and actionable insights
• Design and develop ETL processes, Data Warehouses, Data Marts, and Data Lakes
• Gather and analyze requirements to design logical and physical data models
• Work with various data storage and database technologies to build scalable solutions
• Deploy data applications using Docker, Kubernetes, and GitHub
• Own assigned tasks and contribute to project and product development

• Bachelor’s degree in technical, mathematical, or economic fields
• Minimum 1.5 years of experience in implementing, developing, or maintaining Data Warehouse, Business Intelligence, or Big Data systems
• Strong understanding of data processing and ETL/ELT techniques
• Proficiency in SQL and Python for data processing
• Hands-on experience with Power BI for data visualization
• Solid understanding of Azure services for cloud-based data solutions
• Familiarity with web application design principles, including twelve-factor applications
• Familiarity with microservices architecture
• Experience with Git and CI servers
• Independent and responsible approach to delivering high-quality solutions
• Proactive mindset with strong organizational and time-management skills
• Excellent command of English, at least C1 level
• Interest in developing as a Data Engineer

• Work in a supportive team of passionate enthusiasts of AI & Big Data
• Engage with top-tier global enterprises and cutting-edge startups on international projects
• Flexible work arrangements, allowing remote work or work from modern offices and coworking spaces
• Career paths and knowledge-sharing initiatives
• Language classes
• Sponsored training or conferences, including Databricks training materials and certifications
• Team-building events
• Integration budget
• Work anniversary, birthday, and milestone celebrations
• Medical and sports packages
• Eye care
• Well-being support services, including psychotherapy and coaching
• Full work equipment, including a laptop and other necessary devices
• Opportunities to speak at conferences, write for the company blog, or participate in meetups
• Dedicated onboarding buddy