Data Engineering Analyst

Requisition ID:  187935 
Career Group:  Corporate Office Careers 
Job Category:  Data Science - Merchandising 
Travel Requirements:  0 - 10%
Job Type:  Full-Time
 

 Country: Canada (CA) 
Province: Ontario  
City: Toronto
Location: Sobeys Innovation Hub

 
Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers, where your talents contribute to our commitment to excellence and community impact.

Our family of 128,000 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 1,600 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawtons Drug Stores or another of our great banners but we are all one extended family. 
 

Ready to Make an impact?

Job title - Data Engineering Analyst

Location: Sobeys COLAB Office (Toronto Downtown) 

Team: Advanced Analytics

The Advanced Analytics team at Sobeys operates on the frontlines of retail innovation. We are a multi-disciplinary team of data scientists, engineers, developers, and analysts who design, develop, and deploy high-impact, scalable ML/AI solutions that are fundamentally transforming how Sobeys and its family of banners interact with customers and plan and operate their businesses. We leverage the latest cloud tech and advanced analytical techniques to connect the dots between customer behaviour and business operations and unearth the true drivers of customer engagement, sales growth, and profitability. Our work directly impacts the daily lives of millions of Canadian consumers and is a key pillar in our mission to deliver a best-in-class shopping experience for our customers.

In this role, you’ll have the chance to roll up your sleeves and apply data engineering methods and analytics to real-world business situations in one of the biggest retailers in Canada.  The Data Engineer will play a key role in enhancing our advanced analytics and machine learning capabilities within the organization

Here’s where you’ll be focusing:

Responsibilities:

• Maintaining, streamlining and hardening existing data pipelines, from ingestion, through ETL and batch processing in order to reliably process billions of records per day.
• Build data support for our personalization and experimentation efforts, solving problems from statistical test automation to building real-time M/L applications.
• Working with Analytics and Product Management to ensure optimal data design and efficiency.
• Assisting Data Analysts and Data Scientists with pipeline and model deployment
• Use an analytical, data-driven approach to drive a deep understanding of our fast-changing business.
• Building data models to deliver insightful analytics while ensuring the highest standard in data integrity.

#LI-Hybrid    #LI-VJ1

What you have to offer:

Qualifications:

• Bachelor’s or higher degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance or related quantitative field, or equivalent practical experience.
• Experience on back-end data infrastructure in cloud, preferably like Databricks, Azure, Airflow, Snowflake
• Ability to build, debug, optimize, monitor of large and complex spark data pipelines comprising of complex UDF.
• Experience with SQL and SQL-like languages (2 year+)
• Experience on cloud-based CI/CD infrastructure e.g. Azure DevOps, Jenkins, MLOps exposure. (2 year +)
• Proficiency with at least one of the following languages: Java, Python, Scala. (Python is preferred) (2 year+)
• Proficiency with Spark and Hadoop/YARN environment and comfortable with Linux operating system
• Ability to creatively solve problems in a fast paced, rapidly changing environment
• Ability to navigate ambiguity, drive solutions forward and bring stakeholders along.
• Strong problem solving, analytical skills and capability of managing multiple projects and reporting simultaneously across different stakeholders.
• Strong structured thinking and the ability to easily break down complex ambiguous problems and propose impactful data modeling designs.

At Sobeys we require our teammates to have the ability to adhere to a hybrid work model that requires your presence at one of our office locations at least three days per week. This requirement is integral to our commitment to team collaboration and the overall success of our office culture.

We offer a comprehensive Total Rewards package, which varies by role and designed to help our teammates to live better – physically, financially and emotionally. 

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 our organization nor monitored for accuracy. 

We will consider factors such as your working location, work experience and skills as well as internal equity, and market conditions to ensure the selected candidate is paid fairly and competitively. 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. 

Our Total Rewards programs, for full-time teammates, goes well beyond your paycheque:

• Competitive Benefits Package, tailored to meet your needs, including health and dental coverage, life, short- and long-term disability insurance.
• Access to Virtual Health Care Platform and Employee and Family Assistance Program.
• A Retirement and Savings Plan that provides you with the opportunity to build and add value to your savings.
• A 10% in-store discount at our participating banners and access to a wide range of other discount programs, making your purchases more affordable.
• Learning and Development Resources to fuel your professional growth.
• Parental leave top-up
• Paid Vacation and Days-off

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