Senior PowerBI Engineer

We are seeking an experienced and innovative Senior Power BI Engineer to join our client’s team. The ideal candidate will have a minimum of 4 years of commercial experience in developing data analytics and business intelligence solutions, with substantial experience in Power BI and Power Apps. You will be responsible for designing, implementing, and maintaining compelling reports and dashboards with prepared datasets, and integrating them with Power Apps to support our client’s business needs.

This project involves pricing assets under the company's management. It utilizes machine-learning models that operate on data ingested from third-party APIs. The process includes ELT (extract, load, transform), data modeling in SQL, training ML models, running predictions, and storing predictions back in a SQL database (MSSQL on Azure). Users interact with the data using Power BI.

Must Have Requirements:

• Minimum of 4 years of commercial experience in Power BI development.
• Demonstrable experience with Power Apps, including building and integrating applications.
• Strong proficiency in DAX, Power Query, and M language for complex data modeling and transformations.
• Experience with SQL, and familiarity with various databases like SQL Server​
• Proven ability to transform complex data into compelling visual reports and dashboards.
• Design, develop, and deploy advanced Power BI reports and dashboards.
• Connect to various data sources and transform data into actionable insights through Power BI.
• Work closely with business stakeholders to understand their data requirements and translate them into scalable BI solutions.
• Develop and maintain efficient data models for Power BI using industry best practices.
• Integrate Power BI with Power Apps to provide end-to-end user solutions.
• Train and support end-users on Power BI and Power Apps functionalities, ensuring they can utilize the tools effectively.
• Collaborate with cross-functional teams including data engineering
• Excellent problem-solving skills and analytical thinking.
• Strong understanding of data warehousing concepts and data modeling processes (dimensional, star).
• Experience with cloud platforms such as Azure.
• Proficient in data visualization best practices.
• Fluent communication 

Nice to Have:

• Experience with Microsoft Dynamics 365, including creating reports and dashboards that integrate with Dynamics 365 data.
• Familiarity with CI/CD pipelines and version control systems such as Git.
• Knowledge of machine learning algorithms and data science methodologies.
• Experience with Azure Data Factory or Airflow familiarity with its tools and features for collaborative data preparation and management; Azure SQL Database, and Azure Synapse Analytics.
• Ability to work independently as well as collaboratively in a team environment.