Ingénieur(e) de données | Senior Data Engineer at RIO Tinto
Montréal, QC H3B 0E3, Canada -
Full Time


Start Date

Immediate

Expiry Date

03 Oct, 25

Salary

0.0

Posted On

05 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Code, Software, Teams, Talend, Analytical Skills, Computer Engineering, Scripting, Mysql, English, Version Control, Platforms, Pipeline Development, Spark, Python, Dbt, Design, Data Modeling, Etl Tools, Databases, Computer Science, It, Data Engineering, Oracle, Analytics

Industry

Information Technology/IT

Description

EXCITED TO GROW YOUR CAREER?

We value our talented workforce, and whenever possible strive to help our employees grow professionally. If you think this position is right for you, we encourage you to speak to your Leader and go ahead and apply!
Our people make all the difference in our success.
English follows

FINDING BETTER WAYS™ TO PROVIDE THE MATERIALS THE WORLD NEEDS.

We are looking for a passionate Senior Data Engineer to join our dynamic Digital Delivery team. You will play a key role in creating platform services that enable the implementation of efficient, high-performance, and sustainable data solutions. You will help streamline the processes of integrating, manipulating, and visualizing data across the Rio Tinto enterprise.
This is a great opportunity to share in success by contributing to IOC objective of best operator and joining a motivated team working at the cutting edge of Data analytics platform development. This is an Agile role which will leverage your strengths to maximise the value you deliver and allow for substantial skills and professional development.

Reporting to the Superintendent, Value Chain Performance and working within the IOC Digital Delivery team, you will:

  • Design, build, and deploy integrated data workflows to support analytics models
  • Use the latest technologies to manage and scale data pipelines
  • Engineer systems for processing large volumes of data
  • Diagnose and resolve issues related to data pipelines
  • Provide guidance on best practices and solution configuration
  • Improve decision-making processes by optimizing workflows
  • Develop and deploy world-class data analytics solutions
  • Occasional travel may be required based on business needs
Responsibilities

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