Intermediate - Data Modeler
- Calgary, AB, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- 5 to 7 years of relevant supply chain data science or product development experience.
- Posting language
- English
- Posted
Original job description
Are you a skilled Data Modeler looking to make a direct impact on supply chain operations in the oil and gas sector? Our Calgary client is seeking a Data Modeler for a 1-year contract, working in a hybrid environment.
In this role, you will design, build, and operationalize scalable Supply Chain data products that deliver measurable business value, combining advanced analytics with modern data pipeline development to turn complex data into trusted insights.
Advantages
Gain valuable enterprise experience within the oil and gas sector.
Enjoy a flexible hybrid work setup balancing office collaboration and home focus.
Build cutting edge data products using Databricks, PySpark, and Microsoft Power Platform.
Work on high impact analytics solutions addressing supply chain, procurement, and spend priorities.
Collaborate with an experienced data and innovation team dedicated to strategy and modern analytics.
Responsibilities
Develop analytics solutions that address supply chain business problems using oil and gas operational context.
Design, build, test, and optimize scalable ETL and ELT pipelines in Databricks using Python, PySpark, and SQL.
Transform and model structured and unstructured data from enterprise platforms including Oracle Cloud, SAP, and Dataverse.
Build machine learning, statistical, and AI-assisted models for classification, forecasting, and anomaly detection.
Utilize Databricks platform capabilities like Unity Catalog, workflows, and SQL warehouses to maintain enterprise standards.
Analyze unstructured SCM data such as purchase order descriptions and customer feedback to extract insights.
Maintain project documentation including idea assessments, architecture designs, and weekly status updates.
Qualifications
Bachelor's degree in Commerce (SCM), Data Science, Engineering, or a related field.
5 to 7 years of relevant supply chain data science or product development experience.
Demonstrates advanced proficiency in Python, PySpark, Databricks, and SQL for large scale processing.
Possesses hands-on experience with Microsoft Power Platform tools including Copilot Studio, Dataflows, and Dataverse.
Brings knowledge of SAP and Oracle Cloud SCM modules along with oil and gas Procure-to-Pay processes.
Summary
If you are ready to take your supply chain data expertise to the next level, we want to hear from you. Please apply directly to this job ad or reach out to your Randstad Digital representative immediately!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
In this role, you will design, build, and operationalize scalable Supply Chain data products that deliver measurable business value, combining advanced analytics with modern data pipeline development to turn complex data into trusted insights.
Advantages
Gain valuable enterprise experience within the oil and gas sector.
Enjoy a flexible hybrid work setup balancing office collaboration and home focus.
Build cutting edge data products using Databricks, PySpark, and Microsoft Power Platform.
Work on high impact analytics solutions addressing supply chain, procurement, and spend priorities.
Collaborate with an experienced data and innovation team dedicated to strategy and modern analytics.
Responsibilities
Develop analytics solutions that address supply chain business problems using oil and gas operational context.
Design, build, test, and optimize scalable ETL and ELT pipelines in Databricks using Python, PySpark, and SQL.
Transform and model structured and unstructured data from enterprise platforms including Oracle Cloud, SAP, and Dataverse.
Build machine learning, statistical, and AI-assisted models for classification, forecasting, and anomaly detection.
Utilize Databricks platform capabilities like Unity Catalog, workflows, and SQL warehouses to maintain enterprise standards.
Analyze unstructured SCM data such as purchase order descriptions and customer feedback to extract insights.
Maintain project documentation including idea assessments, architecture designs, and weekly status updates.
Qualifications
Bachelor's degree in Commerce (SCM), Data Science, Engineering, or a related field.
5 to 7 years of relevant supply chain data science or product development experience.
Demonstrates advanced proficiency in Python, PySpark, Databricks, and SQL for large scale processing.
Possesses hands-on experience with Microsoft Power Platform tools including Copilot Studio, Dataflows, and Dataverse.
Brings knowledge of SAP and Oracle Cloud SCM modules along with oil and gas Procure-to-Pay processes.
Summary
If you are ready to take your supply chain data expertise to the next level, we want to hear from you. Please apply directly to this job ad or reach out to your Randstad Digital representative immediately!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
More about this job
Responsibilities
The Data Modeler at Randstad Canada will build analytics solutions and data pipelines that answer supply chain problems in oil and gas. The work includes modelling data from SAP, Oracle Cloud and Dataverse and building machine learning models for forecasting and anomaly detection.
Requirements
Candidates need a bachelor's degree in commerce (SCM), data science, engineering or a related field, plus 5 to 7 years of relevant experience. Advanced skills in Python, PySpark, Databricks and SQL are required, along with knowledge of SAP, Oracle Cloud SCM and oil and gas procure-to-pay processes.
Skills
- Databricks
- PySpark
- Python
- SQL
- Microsoft Power Platform
- Copilot Studio
- Dataflows
- Dataverse
- SAP
- Oracle Cloud SCM
- Unity Catalog
- ETL pipeline development
- ELT pipeline development
- Machine learning
- Statistical modelling
- Forecasting
- Anomaly detection
- Text analytics
- Data modelling
- Procure-to-pay
- Supply chain analytics
- Project documentation
Benefits
- Enterprise experience in oil and gas
- Flexible hybrid work
Categories
- Data & Analytics
- Technology
- Energy
- Consulting
Keywords
- Data Modeler
- Databricks
- PySpark
- Python
- SQL
- Microsoft Power Platform
- Copilot Studio
- Dataflows
- Dataverse
- SAP
- Oracle Cloud
- supply chain analytics
- oil and gas
- procure-to-pay
- machine learning
- ETL
- ELT
- Unity Catalog
- data pipelines
- contract
Seniority
Mid level
Perks
- Flexible hours
Tools
- Databricks
- PySpark
- Python
- SQL
- Microsoft Power Platform
- Copilot Studio
- Dataflows
- Dataverse
- SAP
- Oracle Cloud
Languages
- English
Fields of study
- Commerce (SCM)
- Data Science
- Engineering