Build supply chain analytics with Python and Databricks as an Intermediate Data Modeler in Calgary’s hybrid oil and gas setting. This one-year contract connects data expertise with operational priorities.

The Data Modeler develops analytics solutions for supply chain business problems using oil and gas context. You will design scalable pipelines, transform enterprise data, and create models for classification, forecasting, and anomaly detection. The work spans Databricks, PySpark, SQL, Oracle Cloud, SAP, Dataverse, and Microsoft Power Platform.

Key Responsibilities:
Develop analytics solutions addressing supply chain business problems
Design, build, test, and optimize Databricks ETL and ELT pipelines
Transform structured and unstructured enterprise platform data
Build machine learning,



statistical, and AI-assisted models
Maintain architecture designs, assessments, and weekly project updates

Requirements:
Bachelor’s degree in Commerce, Data Science, Engineering, or related field
Five to seven years of relevant experience
Advanced Python, PySpark, Databricks, and SQL proficiency
Hands-on Microsoft Power Platform experience
Knowledge of SAP, Oracle Cloud SCM, and Procure-to-Pay processes

Apply data modeling, scalable processing, and supply chain analytics skills to support high-impact oil and gas priorities.

📌 Intermediate Supply Chain Data Modeler Calgary
🏢 randstad canada
📍 Calgary