Graduate - Data Engineer

at  RIO Tinto

Montréal, QC H3B 0E3, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate17 Feb, 2025Not Specified17 Nov, 20242 year(s) or aboveGood communication skillsNoNo
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Description:

Montréal | Qc
Génie Informatique
Nouveau-elle diplômé-e 2025
Si vous voulez piloter un vrai changement, nous avons l’endroit pour le faire. Nos programmes de talents émergents vous permettent de façonner Rio Tinto. Nous voulons que vous fassiez partie de notre équipe pour nous aider à avancer en résolvant les défis émergents de notre époque. Chez Rio Tinto, nous pensons que les meilleures idées naissent en réunissant des personnes aux perspectives différentes pour travailler vers un objectif commun : créer un avenir meilleur.

TROUVER DE MEILLEURES FAÇONS DE FOURNIR LES MATÉRIAUX DONT LE MONDE A BESOIN

Montréal | Qc
Data Engineering
Graduate 2025
If you want to drive real change, we have just the place to do it. Our Graduate Development Program is an opportunity for you to shape Rio Tinto from the inside out. We want you to be part of our team to help take us forward by solving the emerging challenges of our time. At Rio Tinto, we believe the best ideas come from bringing people together with different perspectives to work toward a common goal – to create a better tomorrow.
About the role
We are looking for candidates who are passionate about new technologies and want to put them at the service of candidates. The person must be able to learn new tools and apply their knowledge to the development of solutions for our customers, and this in a proactive manner.

Your contribution

  • Bachelor’s or master’s degree in computer science or software Engineering completed in 2023, 2024 or early in 2025
  • Less than two years of industry relevant (local and international) experience.
  • Willingness to learn and to make an impact
  • Excellent coding skills and experience using Python (including NumPy, SciPy, pandas)
  • Comfortable writing SQL queries.
  • Knowledge of Cloud platforms such as AWS or Azure
  • Excellent communication, presentation and interpersonal skills
  • Fluent in French and English, both written and spoken. Rio Tinto is a global company and the duties of this position require daily collaboration with colleagues, teams or partners based outside Quebec

What we offer

  • A safety-focused and inclusive working environment
  • A competitive salary package with annual cash incentive awards (STIP) for eligible employees
  • Career development & education assistance to further your ambitions
  • Access to top tier family-friendly health and medical programs
  • Excellent retirement plan
  • A comprehensive leave policy that covers all moments that matter in life (vacation/annual, paid parental leave, short term sick leave, paid holidays)
  • Ongoing individual wellbeing support for you and your family for personal and professional matter
  • Generous Rio Tinto employee share program

Where you will be working
The Data & Analytics team is focused on improving performance through smarter ways of working by driving an innovative and “disruptive” technology culture. By partnering with Rio Tinto product groups and functions, our team is developing innovative ideas to solve problems and enable better decisions through data analytics.
Data science roles have diverse, multi-industry backgrounds and comprehensive skills in the fields of data modelling, engineering, and visualization as well as advanced analytics techniques including machine learning and optimization. These skills are used to turn data into information that can be used to make improved decisions and generate competitive advantage for Rio Tinto.

Responsibilities:

  • Rio Tinto reserves the right to remove job postings as there is enough applicants, therefore, if you are interested in applying for this vacancy, please submit your application as soon as possible


REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Montréal, QC H3B 0E3, Canada