Associate Product Ownership - Jr. Data Engineer (12-months contract) (412071)

include:

• 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.

• 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.

• 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.

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

• 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

• 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.

• 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 Nestlé, 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

At Nestlé 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.

Nestlé 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.

Nestlé will work with you to ensure full participation.

#LI-AF1