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Site Data Engineer - Royal Canin

Job in Guelph, Ontario, Canada
Listing for: Mars, Incorporated and its Affiliates
Full Time position
Listed on 2026-01-01
Job specializations:
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 90000 CAD Yearly CAD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

Job Description:

The Site Data Engineer will partner with the site teams to develop and execute the overall site FI activities to improve site performance by improving data management.

They will be responsible for all systems related to data reporting and 1st level analysis related to site performance KPI reporting and benchmarks, and will be the first contact for all data reporting system for improvement and new tools implementation.

The role is responsible for data integrity/validation and adherence to the established ways of calculation, management through tools and reporting.

What are we looking for?
  • University degree in Industrial Engineering, Engineering or equivalent qualification.
  • 3 to 5 years of experience in Supply (Experience in a Manufacturing Environment is highly preferred).
  • Strong Data Acumen (Data Analysis and Reporting experience is a must).
  • Power apps capabilities (Power BI dashboard creation is a must).
  • Fluent in English with strong communication skills.
What will be your key responsibilities?
  • Key user for digital solutions: SPOC and provides first-level support & training.
  • Support local deployment of digital solutions and digital solutions for continuous improvement.
  • Qualified in BI & analytics to work with prepared data sets.
  • Develop and maintain daily, weekly, periodically and annual data reporting systems for line performance and loss analysis such as TRS/OEE by line and equipment including the different element that builds the TRS/OEE reports.
  • Active member of local & regional IE/MSE team, give functional support to the team when it's needed.
Local Data Steward:
  • Implements the standard for a data set in a certain area (e.g., in one factory).
  • Defines & controls data with stakeholders.
  • Manages data quality issues.
  • Data cleansing and validation.
What can you expect from Mars?
  • Work with diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

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