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.

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. 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.

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 large and complex spark data pipelines comprising of complex UDF.
• Experience with SQL and SQL-like languages (2 years+).
• Experience on cloud-based CI/CD infrastructure e.g. Azure DevOps, Jenkins, MLOps exposure (2 years+).
• Proficiency with at least one of the following languages: Java, Python, Scala (Python is preferred) (2 years+).
• 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.
• 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 is designed to help our teammates to live better – physically, financially, and emotionally.

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.