Build supply chain analytics with Python and Databricks as an Intermediate Data Modeler in Calgary’s hybrid oil and gas workplace. 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