Data Engineer

BI Data Professional – Tax Technology About the Role Client is seeking an experienced BI Data Professional to support the Tax Technology team in delivering strategic, pioneer projects. These projects involve leveraging Snowflake as the foundation for BI solutions and integrating data from various sources including Snowflake databases, ERPs and external files. The ideal candidate will have strong technical expertise in Snowflake, Snowpark, Microsoft Azure, Python, SQL, ETL operations , and experience working with DataIKU . Key Responsibilities Explore and analyze existing Snowflake databases and data warehouses to understand their structure and identify opportunities for BI use cases. Design and implement data connections , create new tables, and develop queries, Python scripts to merge, clean, enrich, and transform data from multiple sources. Integrate data into the BI solutions from external sources leveraging Azure Data Factory and Snowflake for subsequent workflows and BI solutions. Prepare and channel data into subsequent solutions for advanced analytics, visualization, and reporting. Ensure data quality and consistency across all stages of the pipeline. Work independently with minimal IT support, taking ownership of project deliverables and timelines. Prior experience with Finance and Tax processes is an advantage. Required Skills & Experience Strong expertise in Snowflake (including Snowpark ) and its ecosystem. Knowledge of Microsoft Azure services, including Azure Data Factory for ETL orchestration, Blob Storage for data management. Proficiency in Python and SQL for data manipulation and automation. Hands-on experience with ETL operations and data wrangling techniques. Familiarity with DataIKU or similar data science platforms. Ability to integrate and manage data from external sources. Experience in building scalable data pipelines and BI solutions. Excellent problem-solving skills and ability to work independently. Strong communication skills to collaborate with business stakeholders. Knowledge of corporate data governance and security is preferred.