Data Modeler (5–7 years of experience) to design and operationalize Supply Chain data products using Databricks, Python, and PySpark 29827

Our oil & gas client is seeking a

Data Modeler (5–7 years of experience) to design and operationalize Supply Chain data products using Databricks, Python, and PySpark Join a Supply Chain data, innovation, and analytics team focused on delivering scalable data products and actionable insights within an oil & gas environment. This role combines data modeling, analytics, ETL/ELT pipeline development, and AI-assisted solutions to support Supply Chain operations, procurement, supplier performance, and spend analytics. The position works across enterprise platforms including Databricks, SAP, Oracle Cloud, Microsoft Dataflow, and Dataverse while supporting governed Silver and Gold data products. Contract, Calgary/Edmonton/North York, , Hybrid (Mon, Tues, Thurs in office / Weds, Fri at home) 12 months Must Haves

5–7 years in

SCM

or

product development

with

oil & gas

industry exposure Databricks ,

Python ,

PySpark , and

ETL/ELT pipelines

for large-scale data processing Machine learning ,

statistical analysis ,

predictive analysis ,

text analytics , and unstructured data analysis SAP ,

Oracle Cloud ,

SQL ,

Microsoft Power Platform , and

Dataverse Bachelor’s degree in Commerce (SCM), Data Science, Engineering, or related field Nice to Have

Alteryx for data preparation and workflow automation Agile and waterfall methodologies SCM Procure-to-Pay / Source-to-Pay processes Responsibilities





Develop analytics solutions addressing Supply Chain business problems Design and optimize scalable ETL/ELT pipelines in Databricks Transform and model data from Oracle Cloud, SAP, ADW, Microsoft Dataflow, and Dataverse Build and evaluate machine learning, statistical, and AI-assisted solutions for SCM data Use Databricks platform capabilities including notebooks, workflows, Unity Catalog, SQL warehouses, and Lakeflow Maintain documentation including requirements, design documents, and status reports Communicate technical requirements, designs, and product details to business stakeholders Our oil & gas client is seeking a

Data Modeler (5–7 years of experience) to design and operationalize Supply Chain data products using Databricks, Python, and PySpark Join a Supply Chain data, innovation, and analytics team focused on delivering scalable data products and actionable insights within an oil & gas workplace. This role combines data modeling, analytics, ETL/ELT pipeline development, and AI-assisted solutions to support Supply Chain operations, procurement, supplier performance, and spend analytics. The position works across enterprise platforms including Databricks, SAP, Oracle Cloud, Microsoft Dataflow,



and Dataverse while supporting governed Silver and Gold data products. Contract, Calgary/Edmonton/North York, , Hybrid (Mon, Tues, Thurs in office / Weds, Fri at home) 12 months Must Haves

5–7 years in

SCM

or

product development

with

oil & gas

industry exposure Databricks ,

Python ,

PySpark , and

ETL/ELT pipelines

for large-scale data processing Machine learning ,

statistical analysis ,

predictive analysis ,

text analytics , and unstructured data analysis SAP ,

Oracle Cloud ,

SQL ,

Microsoft Power Platform , and

Dataverse Bachelor’s degree in Commerce (SCM), Data Science, Engineering, or related field Nice to Have

Prompt engineering Alteryx for data preparation and workflow automation Agile and waterfall methodologies SCM Procure-to-Pay / Source-to-Pay processes Responsibilities

Develop analytics solutions addressing Supply Chain business problems Design and optimize scalable ETL/ELT pipelines in Databricks Transform and model data from Oracle Cloud, SAP, ADW, Microsoft Dataflow, and Dataverse Build and evaluate machine learning, statistical, and AI-assisted solutions for SCM data Use Databricks platform capabilities including notebooks, workflows, Unity Catalog, SQL warehouses, and Lakeflow Maintain documentation including requirements, design documents, and status reports Communicate technical requirements, designs, and product details to business stakeholders

Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy. #J-18808-Ljbffr

📌 Data Modeler (5–7 years of experience) to design and operationalize Supply Chain data products using (Winnipeg)
🏢 S.i. Systems
📍 Winnipeg