可以使用Cloud Functions和Cloud Scheduler结合进行自动触发调度器。具体实现步骤如下：

1. 创建Cloud Functions函数，以侦听BigQuery表的CREATE或LOAD事件。代码示例：

def trigger_scheduler(data, context):
    # 判断事件类型
    if 'table' in data:
        event_type = data['eventType']
        table_id = data['table']['tableId']
        
        # 如果是CREATE或LOAD事件，触发调度器
        if event_type in ['TABLE_CREATED', 'TABLE_LOADED']:
            scheduler_url = "https://[REGION]-[PROJECT_ID].cloudfunctions.net/[FUNCTION_NAME]"
            trigger_data = {"table_id": table_id}
            requests.post(scheduler_url, data=trigger_data)

2. 创建Cloud Scheduler任务，定时调用上一步中的函数。代码示例：

import google.auth
from googleapiclient import discovery

def create_scheduler_job(table_id=None):
    credentials, project_id = google.auth.default()
    scheduler_client = discovery.build('cloudscheduler', 'v1', credentials=credentials)
    function_url = "https://[REGION]-[PROJECT_ID].cloudfunctions.net/[FUNCTION_NAME]"
    job = {
        "name": "scheduler-job",
        "description": "调度器任务描述",
        "schedule": "*/5 * * * *",  # 每5分钟执行一次
        "timeZone": "Asia/Shanghai",
        "httpTarget": {
            "httpMethod": "POST",
            "uri": function_url,
            "body": f'{{"table_id": "{table_id}"}}', # Cloud Functions函数参数
            "headers": {"Content-Type": "application/json"}
        }
    }
    response = scheduler_client.projects().locations().jobs().create(parent=f"projects/{project_id}/locations/[REGION]", body=job).execute()

通过上述步骤，当BigQuery表创建或加载完成后，Cloud Functions函数即可自动触发Cloud Scheduler任务，进而执行调度任务。