Power BI Technical Lead - IT Contracting @ Michael Page

• Minimum 5 years of experience in Business Intelligence and working with Power BI-based solutions.
• Experience in the media / telecommunications / OTT industry or subscription products.
• Very good knowledge of Power BI, Power BI Service, and semantic models.
• Practical experience with DAX and optimization of models and reports.
• Very good knowledge of SQL and experience working with dbt.
• Experience with Snowflake or other cloud data platforms.
• Knowledge of dimensional modeling, KPIs, and building reusable data models.
• Experience with Git, code review, CI/CD, and deployment processes.
• Ability to create scripts and work with APIs (Python, PowerShell, or related technologies).
• Practical knowledge of Microsoft Fabric, in particular Power BI, Semantic Models, Lakehouse, Warehouse, Direct Lake, and Pipelines.
• Experience with Airflow or similar data orchestration tools.
• Knowledge of Liquibase or similar database change management tools.
• Experience with AI-assisted development and knowledge of Model Context Protocol (MCP).
• Very good knowledge of English enabling work in an international environment.

End client: An international organization operating in the digital and subscription services sector, present in many European markets.

Industry: Technology & Telecoms

Area: IT Data Analysis

We offer

• Long-term cooperation in B2B model (via Michael Page)
• 100% remote work with occasional team meetings.
• Real impact on the development of the data platform and the organization's analytical standards.
• Cooperation with international Data & Analytics teams and experts.
• Work with a modern technology stack including Power BI, dbt, Snowflake, Microsoft Fabric, Airflow, and AI tools.
• Opportunity for development as a Technical Lead while maintaining active involvement in development.

,[Design and development of semantic models, reports, and solutions in Power BI., Building and developing data models in dbt and Snowflake, including the implementation of business logic., Designing comprehensive end-to-end analytical solutions, from the data layer to the BI product., Optimizing data models, reports, and queries, and resolving production issues., Providing technical support to the development team regarding complex architectural and implementation challenges., Conducting code reviews, data model reviews, and promoting best development practices., Mentoring team members and developing technical standards., Automating development, testing, deployment, and monitoring processes using CI/CD, API, and AI tools., Cooperation with international Data & BI teams in implementing joint solutions and standards.]