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There are multiple methods for transferring data from BigQuery to SQL Server, depending on the use case and requirements. Some common methods are:

1. Use of ETL tools: ETL (Extract, Transform, Load) tools like Talend, DataFactory, or Matillion can connect to both BigQuery and SQL Server and automate the transfer process. These tools can also perform data transformations and mapping, making it easier to integrate with the destination system.

2. Use of third-party connectors: Various third-party connectors like CData, Stitch, etc., can also connect to both BigQuery and SQL Server and facilitate the transfer of data in a seamless manner.

3. Use of APIs: BigQuery provides APIs that can be used to fetch data directly from BigQuery and insert it into SQL Server. This method requires some programming effort and may not be suitable for large datasets.

4. Export/import: BigQuery allows exporting data into various formats like CSV, Parquet, Avro, etc., that can be imported into SQL Server using its native import features. However, this method may be time-consuming and may require additional data transformation.

The most effective method will depend on factors like data volume, complexity of transformations, frequency of transfers, budget, etc.