Entry Level Junior Data Engineer Jobs in Toronto, ON

Position Snapshot

Business area: Nestle Canada Inc.

Location:  North York, ON located at 25 Sheppard Ave W, North York, ON M2N 6S8;

Hybrid

A little bit about us

While Nestle is known for KitKat, Gerber, Nescafe, and Haagen-Dazs, our recipe for success comes down to one thing: our people.

We strive to lead a people-focused culture that empowers employees to bring their authentic selves to work each day. There are 3,000+ members of Nestle Canada celebrated for taking action using agility, courage, and trust to find solutions that benefit the business or greater good. We're a team of changemakers, who are curious and challenge the status quo, that take risks that will help drive us forward.

Our focus is not only on nourishing our customers, but also about enriching you. We know that empowerment leads to strong employee engagement, a great work culture, and motivated employees.

What to Expect:

We're looking for an Associate Product Ownership - Jr. Data Engineer (12-months contract) to support and optimize data products by cleaning, preparing, and integrating data for analytics and visualization. This role combines advanced analytics with traditional engineering techniques to ensure a robust, accessible data ecosystem. You'll collaborate with Data Engineers, Solution Architects, and Product Owners to embed models into operations and manage the full product lifecycle. This position is an existing vacancy.

A day in the life:

We are a team of IT professionals from many countries and diverse backgrounds, each with unique missions and challenges in the biggest health, nutrition and wellness company of the world. We innovate every day through forward-looking technologies to create opportunities for Nestle's digital challenges with our consumers, customers and at the workplace. We collaborate with our business partners around the world to deliver standardized, integrated technology products and services to create tangible business value. 

Key responsibilities include:

Data Preparation & Integration:

• Clean, prepare, and optimize data for analytics and visualization.
• Design, build, and integrate data from multiple sources.
• Manage complex queries to ensure data accessibility and functionality.

Collaboration & Solution Design:

• Work with Data Engineers, Solution Architects, and Product Owners to embed models and design scalable solutions.
• Support product lifecycle activities, including stakeholder management and continuous improvement.
• Combine advanced analytics techniques with traditional data engineering practices.

Operational Excellence:

• Streamline and standardize data workflows for improved efficiency.
• Build automated data pipelines to reduce manual effort and enhance integration.
• Design scalable infrastructure to support growing data volumes and user needs.
• Implement monitoring systems and optimize data operations for performance.
• Apply agile methodologies for timely delivery of data solutions.
• Foster a culture of continuous improvement and innovation.

Governance & Reporting:

• Maintain clear documentation and promote knowledge sharing.
• Define performance metrics and reporting mechanisms to measure and communicate operational success.

Role Requirements

• Degree in Computer Science, Engineering or Management of Information Systems
• 0 - 1 year of experience and/or exposure to data modelling (star and/or snowflake schema) and data engineering using Azure cloud system.
• Experience using Databricks to write data transformation scripts
• Experience designing data pipelines for data movement between Azure and Databricks cloud systems
• Experience with relational database design, methods for efficiently retrieving data, as well as data preparation/wrangling both on demand and in an industrialized way
• Gather and process raw data at scale (including writing automation scripts, calling APIs, write SQL queries, SharePoint extraction etc.)
• Experience with programming in Python, pySpark and/or Scala with a demonstrated capability for code modularization, knowledge of DRY/WET programming concepts, code refactoring to optimize efficiency and data preprocessing using native or custom modules

Preferred Skills

• Strong analytical and problem-solving skills.
• Excellent interpersonal and communication skills with the ability to build positive relationships.
• Engaging and personable, with a customer-focused and collaborative approach.
• Ability to collaborate effectively with cross-functional teams and manage multiple tasks and projects simultaneously in a fast-paced environment.

Benefits

• Flexible and hybrid work arrangements 
• Excellent training and development programs as well as opportunities to grow within the company 
• Access to the Discount Company store with Nestle, Nespresso, and Purina products (Located across various Nestle offices/sites) 
• Additional discounts on a variety of products and services offered by our preferred vendors and partnerships 

Compensation Range: CAD 65,000 - CAD 70,000

At Nestle Canada, we are committed to transparency and fairness in our compensation and job posting practices. This position offers a competitive salary within the range specified above, aligned with our commitment to equitable pay practices.

What you need to know

We will be considering applicants as they apply, so please don't delay in submitting your application.

Nestle Canada is an equal-opportunity employer. The principles of diversity, equity, inclusion, and accessibility are vital to how we operate. We strive to foster a respectful and supportive environment where individuals feel valued and empowered to contribute and succeed.

If you are invited to participate in the recruitment process and require an accommodation, please inform Human Resources. Nestle will work with you to ensure full participation.

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