Data Modeler; –to design and operationalize Supply Chain data products using Databricks
Job in
Edmonton, Alberta, Canada
Listing for:
S.i. Systems
Contract
position
Listed on 2026-10-09
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Position: Data Modeler (5–7 years of experience) to design and operationalize Supply Chain data products using Databricks,
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 Py Spark
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 exposureDatabricks
, Python
, Py Spark , and ETL/ELT pipelines for large-scale data processingMachine learning
, statistical analysis
, predictive analysis
, text analytics
, and unstructured data analysisSAP
, Oracle Cloud
, SQL
, Microsoft Power Platform
, and DataverseBachelor’s degree in Commerce (SCM), Data Science, Engineering, or related fieldNice to Have
Prompt engineeringAlteryx for data preparation and workflow automationAgile and waterfall methodologiesSCM Procure-to-Pay / Source-to-Pay processesResponsibilities
Develop analytics solutions addressing Supply Chain business problemsDesign and optimize scalable ETL/ELT pipelines in DatabricksTransform and model data from Oracle Cloud, SAP, ADW, Microsoft Dataflow, and DataverseBuild and evaluate machine learning, statistical, and AI-assisted solutions for SCM dataUse Databricks platform capabilities including notebooks, workflows, Unity Catalog, SQL warehouses, and LakeflowMaintain documentation including requirements, design documents, and status reportsCommunicate technical requirements, designs, and product details to business stakeholders
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