diff --git a/daft/iceberg/iceberg_scan.py b/daft/iceberg/iceberg_scan.py
index 274330d821..eb96364d13 100644
--- a/daft/iceberg/iceberg_scan.py
+++ b/daft/iceberg/iceberg_scan.py
@@ -2,10 +2,63 @@
 
 from pyiceberg.catalog import Catalog, load_catalog
 from pyiceberg.io.pyarrow import schema_to_pyarrow
+from pyiceberg.partitioning import PartitionField as IcebergPartitionField
+from pyiceberg.partitioning import PartitionSpec as IcebergPartitionSpec
+from pyiceberg.schema import Schema as IcebergSchema
 from pyiceberg.table import Table
 
-from daft.io.scan import ScanOperator
-from daft.logical.schema import Schema
+from daft.datatype import DataType
+from daft.expressions.expressions import col
+from daft.io.scan import PartitionField, ScanOperator
+from daft.logical.schema import Field, Schema
+
+
+def _iceberg_partition_field_to_daft_partition_field(
+    iceberg_schema: IcebergSchema, pfield: IcebergPartitionField
+) -> PartitionField:
+    name = pfield.name
+    source_id = pfield.source_id
+    source_field = iceberg_schema.find_field(source_id)
+    source_name = source_field.name
+    daft_field = Field.create(
+        source_name, DataType.from_arrow_type(schema_to_pyarrow(iceberg_schema.find_type(source_name)))
+    )
+    transform = pfield.transform
+    iceberg_result_type = transform.result_type(source_field.field_type)
+    arrow_result_type = schema_to_pyarrow(iceberg_result_type)
+    daft_result_type = DataType.from_arrow_type(arrow_result_type)
+    result_field = Field.create(name, daft_result_type)
+
+    from pyiceberg.transforms import (
+        DayTransform,
+        HourTransform,
+        IdentityTransform,
+        MonthTransform,
+        YearTransform,
+    )
+
+    expr = None
+    if isinstance(transform, IdentityTransform):
+        expr = col(source_name)
+        if source_name != name:
+            expr = expr.alias(name)
+    elif isinstance(transform, YearTransform):
+        expr = col(source_name).dt.year().alias(name)
+    elif isinstance(transform, MonthTransform):
+        expr = col(source_name).dt.month().alias(name)
+    elif isinstance(transform, DayTransform):
+        expr = col(source_name).dt.day().alias(name)
+    elif isinstance(transform, HourTransform):
+        raise NotImplementedError("HourTransform not implemented, Please make an issue!")
+    else:
+        raise NotImplementedError(f"{transform} not implemented, Please make an issue!")
+
+    assert expr is not None
+    return PartitionField(result_field, daft_field, transform=expr)
+
+
+def iceberg_partition_spec_to_fields(iceberg_schema: IcebergSchema, spec: IcebergPartitionSpec) -> list[PartitionField]:
+    return [_iceberg_partition_field_to_daft_partition_field(iceberg_schema, field) for field in spec.fields]
 
 
 class IcebergScanOperator(ScanOperator):
@@ -14,10 +67,14 @@ def __init__(self, iceberg_table: Table) -> None:
         self._table = iceberg_table
         arrow_schema = schema_to_pyarrow(iceberg_table.schema())
         self._schema = Schema.from_pyarrow_schema(arrow_schema)
+        self._partition_keys = iceberg_partition_spec_to_fields(self._table.schema(), self._table.spec())
 
     def schema(self) -> Schema:
         return self._schema
 
+    def partitioning_keys(self) -> list[PartitionField]:
+        return self._partition_keys
+
 
 def catalog() -> Catalog:
     return load_catalog(
diff --git a/daft/io/scan.py b/daft/io/scan.py
index 93708e2048..afaaf7e08f 100644
--- a/daft/io/scan.py
+++ b/daft/io/scan.py
@@ -3,7 +3,8 @@
 import abc
 from dataclasses import dataclass
 
-from daft.logical.schema import Schema
+from daft.expressions.expressions import Expression
+from daft.logical.schema import Field, Schema
 
 
 @dataclass(frozen=True)
@@ -13,14 +14,21 @@ class ScanTask:
     limit: int | None
 
 
+@dataclass(frozen=True)
+class PartitionField:
+    field: Field
+    source_field: Field
+    transform: Expression
+
+
 class ScanOperator(abc.ABC):
     @abc.abstractmethod
     def schema(self) -> Schema:
         raise NotImplementedError()
 
-    # @abc.abstractmethod
-    # def partitioning_keys(self) -> list[Field]:
-    #     raise NotImplementedError()
+    @abc.abstractmethod
+    def partitioning_keys(self) -> list[PartitionField]:
+        raise NotImplementedError()
 
     # @abc.abstractmethod
     # def num_partitions(self) -> int:
diff --git a/daft/logical/schema.py b/daft/logical/schema.py
index 7f33be83b9..89fad30b31 100644
--- a/daft/logical/schema.py
+++ b/daft/logical/schema.py
@@ -33,6 +33,11 @@ def _from_pyfield(field: _PyField) -> Field:
         f._field = field
         return f
 
+    @staticmethod
+    def create(name: str, dtype: DataType) -> Field:
+        pyfield = _PyField.create(name, dtype._dtype)
+        return Field._from_pyfield(pyfield)
+
     @property
     def name(self):
         return self._field.name()
diff --git a/src/daft-core/src/python/field.rs b/src/daft-core/src/python/field.rs
index daae3e63b2..6529edd863 100644
--- a/src/daft-core/src/python/field.rs
+++ b/src/daft-core/src/python/field.rs
@@ -13,6 +13,11 @@ pub struct PyField {
 
 #[pymethods]
 impl PyField {
+    #[staticmethod]
+    pub fn create(name: &str, data_type: PyDataType) -> PyResult<Self> {
+        Ok(datatypes::Field::new(name, data_type.dtype).into())
+    }
+
     pub fn name(&self) -> PyResult<String> {
         Ok(self.field.name.clone())
     }