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Senior BI engineer Miejsce pracy: Warszawa Recruitment for For our client, we are looking for Senior BI engineer We are seeking a skilled Data Visualization Specialist to join our dynamic data and reporting team. In this role, you will be responsible for supporting and evolving enterprise reporting solutions, with a focus on Power BI, Snowflake data engineering, and real-time data integration. You will work closely with cross-functional teams to ensure data reliability, platform modernization, and user enablement. Your responsibilities Agile Approach: We follow agile methodologies, emphasizing adaptability, transparency, and continuous improvement. Open Communication: We require open dialogue, knowledge sharing, and constructive feedback. Innovation and Learning: We foster a culture of innovation, allowing engineers to explore new technologies and grow their skill sets. Applies a systematic, disciplined, quantifiable approach to maintaining and enhancing Power BI datasets and Snowflake data pipelines. Manages and troubleshoots complex Power BI datasets, including the Jackpot and Global Field Services datasets, ensuring stability and resolving Azure AD authentication issues. Designs and implements real-time reporting solutions using Microsoft Fabric Real-Time Intelligence, transitioning legacy streaming reports to modern architectures. Leads semantic model setup and data integration efforts for multiple business domains, collaborating with stakeholders to clarify requirements. Provides technical support and guidance to field services and business users, facilitating migration from personal to enterprise Power BI workspaces. Offers best practice recommendations for Power BI adoption, licensing, and training, and connects users with appropriate teams for formal requests. Develops and maintains Snowflake data engineering solutions to support scalable, secure, and high-performance reporting environments. Participates in project management of reporting solutions, focusing on quality, usability, and performance optimization. Adheres to IT best practices, including SLA performance, incident/change/release/audit management processes. Completes special projects with minimal supervision and contributes to mentoring and coaching of team members. Employer requirements Experience in enterprise reporting, data engineering, or software development. Strong expertise in Power BI, including dataset management, dashboard development, and workspace administration. Proven experience with data engineering, including data modeling, pipeline development, and performance tuning. Solid understanding of software development life cycle (SDLC) and Agile methodologies. Excellent analytical and troubleshooting skills, with a commitment to customer satisfaction and service excellence. Strong communication and stakeholder engagement skills. Bonus: Experience using AI-assisted development and testing tools to accelerate dashboard creation, automate data validation, or enhance report quality. Exposure to machine learning workflows or AI model integration is a plus. Power BI Service, DAX, Power Query, and Fabric Event Streams. Snowflake SQL, Streams, Tasks, and Data Sharing. Azure AD, Microsoft 365, and enterprise authentication models.