Data Engineer - En

Requisition ID: 173485

Career Group: Corporate Office Careers

Job Category: Advanced Analytics

Travel Requirements: 0 - 10%

Job Type: Full-Time

Country: Canada (CA)

Province: Alberta; British Columbia

City: Calgary, Vancouver

Location: Vancouver Office - Fraser Street, Calgary Office

Postal Code

Our family of 134,000 employees and franchise affiliates share a collective passion for delivering exceptional shopping experiences and amazing food to all our customers. Our mission is to nurture the things that make life better – great experiences, families, communities, and our employees. We are a family nurturing families.

A proudly Canadian company, we started in a small town in Nova Scotia but we are now in communities of all sizes across this great country. With over 1500 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawton’s Drug Stores or another of our great banners but we are all one extended family.

All career opportunities will be open a minimum of 5 business days from the date of posting.

Overview

Are you a problem solver who love working with big data to help businesses make informed decisions?

We are looking for a highly qualified Data Engineer to join our team and create and maintain optimal data pipeline architecture as well as engage with internal stakeholders. In this role, you will be responsible for building infrastructure, identifying internal process improvements, and working closely with analytics and business teams to improve data models.

As a Data Engineer, you will have the opportunity to:

• Design data integrations and data quality framework.
• Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
• Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements utilizing both cloud and SAP toolsets.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
• Define and catalog company data assets, data models, and pipeline jobs.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, SAP, and Azure technologies.
• Write unit/integration tests, contribute to operational and design repositories.
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.
• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

We are seeking a candidate who meets the following qualifications:

• Python/PySpark experience.
• Experience designing, building, and maintaining data processing systems.
• 4+ year's experience as a data engineer.
• Bachelor's degree in Computer Science, Computer Engineering, or a related discipline.
• SAP and Azure experience are a plus.
• Excellent analytical and problem-solving skills.
• Retail experience is an asset.
• Knowledge of data analytics, data mapping, data modeling, and data profiling tools.

#analyticsatsobeys

We offer teammates competitive total compensation packages that will vary by role and location. Some websites share our job opportunities and may provide salary estimates without our knowledge. These estimates are based on similar jobs and postings for general comparison, but these numbers are not provided by or monitored for accuracy by our organization. We look forward to discussing the specific compensation details relevant to this role with candidates who are selected to move forward in the recruitment process.

Sobeys is committed to accommodating applicants with disabilities throughout the hiring process and will work with applicants requesting accommodation at any stage of this process.

While all responses are appreciated only those being considered for interviews will be acknowledged.

We appreciate the interest from the Staffing industry however respectfully request no calls or unsolicited resumes from Agencies.