Parkland Corporation

Data Engineer

Data Engineer
Notice info
LocationCalgary, AB
Job Typefull time
On-site
Oil and Gas

About This Job

As of November 1, 2025, Sunoco LP has successfully completed its acquisition of Parkland Corporation. For more information, please visit www.sunocolp.com.


Competitive Benefits. Meaningful Extras. Unmatched Value.

- A place where you can take your career in the direction you want to grow and go


The Opportunity:

Sunoco is seeking a skilled Data Engineer to join our Supply Optimization team with strong expertise in R and/or Python. This role is focused on designing and delivering scalable data and application solutions that enable data-driven decision-making and maximize enterprise margins. You will help enhance supply chain visibility, strengthen demand forecasting, optimize inventory management, and improve overall operational performance.

This role will play a critical part in the Value Chain Optimization (VCO) initiative aimed at transforming Sunoco’s Supply Chain operations. As a Data Engineer reporting to the Senior Manager - Optimization, you will work closely with supply chain managers, logistics teams, schedulers, and analysts and translate complex business requirements into intuitive, production-grade applications, dashboards, and data products that power real-time, actionable insights across the organization.


Responsibilities:


Data Engineering & Pipelines:

- Design and maintain scalable ETL/ELT pipelines to ingest, transform, and serve supply chain data from ERP, ETRM, TMS, inventory, and external sources using modern architectures (e.g., medallion).

- Implement automated workflows, monitoring, and validation processes to ensure reliable, high-quality data.


Application Development & Optimization Enablement:

- Build and maintain end-to-end web applications, APIs, and data products that support inventory, margin, routing, and logistics optimization.

- Develop data structures for forecasting and planning models, productionize analytics solutions, and embed them into operational workflows.

- Create intuitive dashboards and user interfaces (e.g., Shiny, Dash, React) that deliver actionable insights to business users.


Data Quality, Governance & DevOps:

- Establish data quality standards, lineage tracking, and governance practices to ensure transparency, security, and compliance.

- Promote modular, well-documented code and implement testing, version control, and deployment best practices to deliver scalable, production-ready systems.


Stakeholder Collaboration:

- Partner with supply chain and operations teams to translate business challenges—such as stockout prevention, route optimization, and supply balancing—into high-impact technical solutions that drive measurable performance improvements.


Education:

- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.


Requirements:

- 3-7+ years of experience in data engineering, application development or engineering roles.

- Strong proficiency in Python and/or R, with a focus on backend development, data processing, and automation (e.g., Flask, FastAPI).

- Experience implementing automated ETL pipelines using Python and/or R.

- Experience building end-to-end applications using either code-first data frameworks (e.g., Plotly Dash, R Shiny) or modern JavaScript frameworks (e.g., React).

- Experience with BI tools (e.g. Power BI) for reporting and dashboard integration.

- Strong SQL skills and experience working with relational databases.

- Understanding of RESTful APIs, microservices, and cloud platforms (AWS, Azure).

- Experience with version control (Git) and CI/CD pipelines.

- Ability to work collaboratively with operations, supply chain, and commercial teams.

- Strong problem-solving skills and attention to detail.


Preferred Qualifications:

- Experience in oil and gas, fuel distribution, transportation, logistics, or supply chain optimization is considered an asset.

- Understanding of routing algorithms, optimization techniques, or real-time dispatching systems.

- Experience with Databricks or similar tools.

- Exposure to MLOps or deploying machine learning models into production environments

- Experience with using AI-assisted coding tools (e.g. Cursor) to accelerate coding workflows.

Humble. Hungry. Smart. Does this sound like you?

Do others describe you as being a down-to-earth achiever? Someone who thinks outside the box and always strives to do more than what is required? Someone who sees the bigger picture? You sound brilliant to work with!


We Want You To Shine:

We are committed to providing equal opportunities to all applicants. If you require accommodation due to a disability, you will have an opportunity to notify us when scheduling your interview.


Belonging Matters. Because You Do:

We are an equal opportunity employer and encourage applications from all qualified individuals. Our ability to work as one team across Canada, the United States, and the Caribbean is foundational to our success. We show up as our authentic selves each day and create space for one another’s unique contributions.

We respect the diverse cultures, traditions, and perspectives of Indigenous Peoples and seek to achieve equitable partnerships and opportunities with Indigenous communities.


The Fine Print:

Candidates must be legally eligible to work in the country in which they applied. Regrettably, we are unable to sponsor employment visas at this time.

Final candidates will be required to undergo a confidential pre-employment background check, including but not limited to educational, criminal, credit, drug and alcohol, and/or fitness for duty testing.


#LI-AD1

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