Deferrable BeamRunPythonPipelineOperator (DataflowRunner) fails with "400 Request must contain a job and project id" when launcher stdout has no job-id line

### Under which category would you file this issue? Providers ### Apache Airflow version 3.1.7 ### What happened and how to reproduce it? ### Issue description A `BeamRunPythonPipelineOperator` (the Java/Go variants share the code path) with `deferrable=True` and `runner="DataflowRunner"` fails with: ``` airflow.exceptions.AirflowException: 400 Request must contain a job and project id. ``` whenever the Beam launcher's stdout does **not** contain a line matching `JOB_ID_PATTERN` — even though the Dataflow job itself launches and runs to completion. The **identical** task with `deferrable=False` succeeds against the same job. So enabling deferrable mode turns a passing task into a failing one, with no other change. ### Root cause The operator only learns its `dataflow_job_id` by scanning the launcher subprocess's stdout with this regex (`providers/google/src/airflow/providers/google/cloud/hooks/dataflow.py`): ```python JOB_ID_PATTERN = re.compile( r"Submitted job: (?P<job_id_java>[^\"\n\s]*)|Created job with id: \[(?P<job_id_python>[^\"\n\s]*)\]" ) ``` If that line never appears, `on_new_job_id_callback` never fires and `self.dataflow_job_id` stays `None`. There is a second consequence that matters: the launcher's stdout-reading loop (`run_beam_command` / `process_fd` in `providers/apache/beam/.../hooks/beam.py`) only short-circuits when `is_dataflow_job_id_exist_callback()` returns truthy. With no job id ever captured that callback stays `False`, so the loop **never returns early** — it blocks reading stdout until the subprocess exits, i.e. until the Dataflow job itself finishes. In the normal case the scan returns as soon as the id line is seen and the remaining wait is delegated to the Dataflow API; here the entire job runs inline before either wait mode is reached. **Why the line is commonly missing.** The Beam SDK logs `Created job with id: [...]` from `apache_beam.runners.dataflow.internal.apiclient` at **INFO** level. Python's root logger defaults to **WAR…