diff --git a/ocf_datapipes/load/__init__.py b/ocf_datapipes/load/__init__.py
index 3061528b8..3684d8379 100644
--- a/ocf_datapipes/load/__init__.py
+++ b/ocf_datapipes/load/__init__.py
@@ -13,7 +13,7 @@
 
 from .configuration import OpenConfigurationIterDataPipe as OpenConfiguration
 from .nwp.nwp import OpenNWPIterDataPipe as OpenNWP
-from .satellite import OpenSatelliteIterDataPipe as OpenSatellite
+from .satellite import open_sat_data
 
 try:
     import rioxarray  # Rioxarray is sometimes a pain to install, so only load this if its installed
diff --git a/ocf_datapipes/load/satellite.py b/ocf_datapipes/load/satellite.py
index a61688e9c..da7982ff1 100644
--- a/ocf_datapipes/load/satellite.py
+++ b/ocf_datapipes/load/satellite.py
@@ -9,7 +9,6 @@
 import pandas as pd
 import xarray as xr
 from ocf_blosc2 import Blosc2  # noqa: F401
-from torch.utils.data import IterDataPipe, functional_datapipe
 
 _log = logging.getLogger(__name__)
 
@@ -163,24 +162,3 @@ def open_sat_data(zarr_path: Union[Path, str, list[Path], list[str]]) -> xr.Data
     _log.info("Opened satellite data")
 
     return data_array
-
-
-@functional_datapipe("open_satellite")
-class OpenSatelliteIterDataPipe(IterDataPipe):
-    """Open Satellite Zarr"""
-
-    def __init__(self, zarr_path: Union[Path, str]):
-        """
-        Opens the satellite Zarr
-
-        Args:
-            zarr_path: path to the zarr file
-        """
-        self.zarr_path = zarr_path
-        super().__init__()
-
-    def __iter__(self) -> xr.DataArray:
-        """Open the Zarr file"""
-        data: xr.DataArray = open_sat_data(zarr_path=self.zarr_path)
-        while True:
-            yield data
diff --git a/ocf_datapipes/training/common.py b/ocf_datapipes/training/common.py
index d5f0d3d95..4a9e27d25 100644
--- a/ocf_datapipes/training/common.py
+++ b/ocf_datapipes/training/common.py
@@ -19,8 +19,8 @@
     OpenNWP,
     OpenPVFromNetCDF,
     OpenPVFromPVSitesDB,
-    OpenSatellite,
     OpenWindFromNetCDF,
+    open_sat_data,
 )
 from ocf_datapipes.utils.utils import flatten_nwp_source_dict
 
@@ -38,6 +38,23 @@
 logger = logging.getLogger(__name__)
 
 
+@functional_datapipe("fake_iter")
+class FakeIter(IterDataPipe):
+    """This makes a fake iter datapipe
+
+    We are using this just to move away from datapipes.
+    This can be done by removing certain function to return xarray data,
+    and for the moment using this FakeIter, to make it back into a datapipe
+    """
+
+    def __init__(self, data_xr):  # noqa
+        self.data_xr = data_xr
+
+    def __iter__(self) -> xr.DataArray:  # noqa
+        while True:
+            yield self.data_xr
+
+
 def is_config_and_path_valid(
     use_flag: bool,
     config,
@@ -171,24 +188,28 @@ def open_and_return_datapipes(
 
     if use_sat:
         logger.debug("Opening Satellite Data")
-        sat_datapipe = (
-            OpenSatellite(configuration.input_data.satellite.satellite_zarr_path)
-            .filter_channels(configuration.input_data.satellite.satellite_channels)
-            .add_t0_idx_and_sample_period_duration(
-                sample_period_duration=minutes(
-                    configuration.input_data.satellite.time_resolution_minutes
-                ),
-                history_duration=minutes(configuration.input_data.satellite.history_minutes),
-            )
+
+        sat_xr = open_sat_data(configuration.input_data.satellite.satellite_zarr_path)
+        sat_pipe = FakeIter(sat_xr)
+
+        sat_datapipe = sat_pipe.filter_channels(
+            configuration.input_data.satellite.satellite_channels
+        ).add_t0_idx_and_sample_period_duration(
+            sample_period_duration=minutes(
+                configuration.input_data.satellite.time_resolution_minutes
+            ),
+            history_duration=minutes(configuration.input_data.satellite.history_minutes),
         )
 
         used_datapipes["sat"] = sat_datapipe
 
     if use_hrv:
         logger.debug("Opening HRV Satellite Data")
-        sat_hrv_datapipe = OpenSatellite(
-            configuration.input_data.hrvsatellite.hrvsatellite_zarr_path
-        ).add_t0_idx_and_sample_period_duration(
+
+        sat_xr = open_sat_data(configuration.input_data.satellite.satellite_zarr_path)
+        sat_pipe = FakeIter(sat_xr)
+
+        sat_hrv_datapipe = sat_pipe.add_t0_idx_and_sample_period_duration(
             sample_period_duration=minutes(
                 configuration.input_data.hrvsatellite.time_resolution_minutes
             ),
diff --git a/ocf_datapipes/training/example/gsp_pv_nwp_satellite.py b/ocf_datapipes/training/example/gsp_pv_nwp_satellite.py
index 9ac221e23..23d1b8109 100644
--- a/ocf_datapipes/training/example/gsp_pv_nwp_satellite.py
+++ b/ocf_datapipes/training/example/gsp_pv_nwp_satellite.py
@@ -12,8 +12,8 @@
 from ocf_datapipes.batch import MergeNumpyModalities, MergeNWPNumpyModalities
 from ocf_datapipes.config.load import load_yaml_configuration
 from ocf_datapipes.config.model import Configuration
-from ocf_datapipes.load import OpenGSP, OpenNWP, OpenPVFromNetCDF, OpenSatellite
-from ocf_datapipes.training.common import normalize_gsp, normalize_pv
+from ocf_datapipes.load import OpenGSP, OpenNWP, OpenPVFromNetCDF, open_sat_data
+from ocf_datapipes.training.common import FakeIter, normalize_gsp, normalize_pv
 from ocf_datapipes.utils.consts import NWP_MEANS, NWP_STDS, RSS_MEAN, RSS_STD
 
 logger = logging.getLogger(__name__)
@@ -53,9 +53,9 @@ def gsp_pv_nwp_satellite_data_pipeline(configuration: Union[Path, str]) -> IterD
     )
 
     # Load and noralize satellite data
-    satellite_datapipe = OpenSatellite(
-        zarr_path=configuration.input_data.satellite.satellite_zarr_path
-    ).normalize(mean=RSS_MEAN, std=RSS_STD)
+    sat_xr = open_sat_data(zarr_path=configuration.input_data.satellite.satellite_zarr_path)
+    satellite_datapipe = FakeIter(sat_xr)
+    satellite_datapipe = satellite_datapipe.normalize(mean=RSS_MEAN, std=RSS_STD)
 
     # Load and normalize NWP data - There may be multiple NWP sources
     nwp_datapipe_dict = {}
diff --git a/tests/conftest.py b/tests/conftest.py
index 94d03972f..63b924cd7 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -25,13 +25,8 @@
 from ocf_datapipes.config.load import load_yaml_configuration
 from ocf_datapipes.config.model import PV, PVFiles
 from ocf_datapipes.config.save import save_yaml_configuration
-from ocf_datapipes.load import (
-    OpenGSP,
-    OpenNWP,
-    OpenPVFromNetCDF,
-    OpenSatellite,
-    OpenTopography,
-)
+from ocf_datapipes.load import OpenGSP, OpenNWP, OpenPVFromNetCDF, OpenTopography, open_sat_data
+from ocf_datapipes.training.common import FakeIter
 
 xr.set_options(keep_attrs=True)
 
@@ -49,7 +44,7 @@ def top_test_directory():
 @pytest.fixture()
 def sat_hrv_datapipe():
     filename = _top_test_directory + "/data/hrv_sat_data.zarr"
-    return OpenSatellite(zarr_path=filename)
+    return FakeIter(open_sat_data(zarr_path=filename))
 
 
 @pytest.fixture()
@@ -57,7 +52,7 @@ def sat_datapipe():
     filename = f"{_top_test_directory}/data/sat_data.zarr"
     # The saved data is scaled from 0-1024. Now we use data scaled from 0-1
     # Rescale here for subsequent tests
-    return OpenSatellite(zarr_path=filename).map(lambda da: da / 1024)
+    return FakeIter(open_sat_data(zarr_path=filename)).map(lambda da: da / 1024)
 
 
 @pytest.fixture()
@@ -65,7 +60,7 @@ def sat_15_datapipe():
     filename = f"{_top_test_directory}/data/sat_data_15.zarr"
     # The saved data is scaled from 0-1024. Now we use data scaled from 0-1
     # Rescale here for subsequent tests
-    return OpenSatellite(zarr_path=filename).map(_sat_rescale)
+    return FakeIter(open_sat_data(zarr_path=filename)).map(_sat_rescale)
 
 
 @pytest.fixture()
diff --git a/tests/load/test_load_satellite.py b/tests/load/test_load_satellite.py
index 52c1b5056..d9e204f75 100644
--- a/tests/load/test_load_satellite.py
+++ b/tests/load/test_load_satellite.py
@@ -6,23 +6,20 @@
 
 """
 
-from ocf_datapipes.load import OpenSatellite
+from ocf_datapipes.load import open_sat_data
 from freezegun import freeze_time
 
 
 def test_open_satellite():
-    sat_datapipe = OpenSatellite(zarr_path="tests/data/hrv_sat_data.zarr")
-    metadata = next(iter(sat_datapipe))
-    assert metadata is not None
+    sat_xr = open_sat_data(zarr_path="tests/data/hrv_sat_data.zarr")
+    assert sat_xr is not None
 
 
 def test_open_hrvsatellite():
-    sat_datapipe = OpenSatellite(zarr_path="tests/data/sat_data.zarr")
-    metadata = next(iter(sat_datapipe))
-    assert metadata is not None
+    sat_xr = open_sat_data(zarr_path="tests/data/sat_data.zarr")
+    assert sat_xr is not None
 
 
 def test_open_satellite_15():
-    sat_datapipe = OpenSatellite(zarr_path="tests/data/sat_data_15.zarr")
-    metadata = next(iter(sat_datapipe))
-    assert metadata is not None
+    sat_xr = open_sat_data(zarr_path="tests/data/sat_data_15.zarr")
+    assert sat_xr is not None
diff --git a/tests/transform/numpy_batch/conftest.py b/tests/transform/numpy_batch/conftest.py
index d137ff7cc..dff4276f7 100644
--- a/tests/transform/numpy_batch/conftest.py
+++ b/tests/transform/numpy_batch/conftest.py
@@ -10,7 +10,8 @@
     ConvertPVToNumpyBatch,
     ConvertSatelliteToNumpyBatch,
 )
-from ocf_datapipes.load import OpenGSP, OpenNWP, OpenSatellite
+from ocf_datapipes.load import OpenGSP, OpenNWP, open_sat_data
+from ocf_datapipes.training.common import FakeIter
 from ocf_datapipes.batch import MergeNumpyModalities
 
 from ocf_datapipes.transform.xarray import (
@@ -21,7 +22,7 @@
 @pytest.fixture()
 def sat_hrv_np_datapipe():
     filename = Path(ocf_datapipes.__file__).parent.parent / "tests" / "data" / "hrv_sat_data.zarr"
-    dp = OpenSatellite(zarr_path=filename)
+    dp = FakeIter(open_sat_data(zarr_path=filename))
     dp = AddT0IdxAndSamplePeriodDuration(
         dp,
         sample_period_duration=timedelta(minutes=5),
@@ -34,7 +35,7 @@ def sat_hrv_np_datapipe():
 @pytest.fixture()
 def sat_np_datapipe():
     filename = Path(ocf_datapipes.__file__).parent.parent / "tests" / "data" / "sat_data.zarr"
-    dp = OpenSatellite(zarr_path=filename)
+    dp = FakeIter(open_sat_data(zarr_path=filename))
     dp = AddT0IdxAndSamplePeriodDuration(
         dp,
         sample_period_duration=timedelta(minutes=5),