About the roles 

We are offering a four-month winter (January to April 2023) internship in our Data Engineering team. As a Data Engineering Intern, you will have the chance to work with challenging and exciting analytics problems and make a positive impact to the business, while learning and engaging with a global team of technology experts and engineers. This will involve gaining substantial experience working with our data systems to develop state-of-the-art data science solutions for our business’s data problems.

In this role, you will support the PACE Data Analytics team to design and continually improve services that solve business problems and provide insight to making improved decisions. As part of the Data Engineering team, you will participate, learn and be exposed to:

• Design, build, integrate data from various resources, and manage big datasets for data scientists
• Engineer data pipelines from source systems to predictive models
• Develop software engineering best practices in extending Machine Learning (ML) prototypes into fully functional and polished end-products.

You will also support the teams to:

• Ensure best in class processes and techniques to develop and deploy data analytics solutions to the business
• Ensure the quality assurance and quality control of all data analytics products released to the business
• Capture and record the intellectual property generated
• Share what has been developed in GitHub to help foster a new generation of data driven decision makers and enable them to improve upon what has already been done
• Engage with clients and key stakeholders to build their understanding of data analytics
• Foster an innovative and “disruptive” technology culture to identify and drive value creating opportunities

Your contribution

To succeed in this role, you will have:

• Completed 3+ years in a bachelor or master’s degree* in software engineering, computer science, or substantial experience and demonstration of equivalent skills
• Excellent coding skills and experience using Python (including NumPy, SciPy, pandas)
• Comfortable writing complex SQL queries
• Experience working in a “big-data” environment (Hadoop/EMR, Hive, Glue, Athena, Lambda, Redshift, etc.)
• Experience working with Cloud platforms such as AWS or Azure
• Advanced knowledge of English, written and spoken. Bilingual (English & French) an asset
• Excellent communication, presentation and interpersonal skills

Additional desirable skills

• Familiarity with the agile development process
• Linux workstation and administration capabilities, including comfort working at the command line or over SSH
• Basic Understanding on data storage technologies and formats, data modeling, ETL tools and API integrations
• Basic understanding of web markup including HTML5, CSS3, client-side scripting and JavaScript frameworks

What’s on offer 

• A safety-focused and inclusive working environment
• A competitive salary
• An exciting and rewarding experience
• Opportunity to build relationships with the Rio Tinto team and community
• A great chance to prepare yourself to join our Graduate Development Program

Where you will be working

This role is based in our Montreal office; one of Rio Tinto’s Head Offices. Our Montreal team supports the production activities of different materials including diamond, copper, iron, and Aluminum. In addition, it brings together functions such as Commercial, Human Resources, IT and Finance.

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.

About Rio Tinto

Every idea, every innovation, every little thing the world calls ‘progress’ begins with a first step, and someone willing to take it: explorers, inventors, entrepreneurs.

For nearly 150 years, Rio Tinto has been a company of pioneers –generations of people spanning the globe, all with the grit and vision to produce materials essential to human progress. Our iron ore has shaped skylines from Shanghai to Sydney. Our aluminium –the world’s first to be certified “responsible” –helps planes fly and makes cars lighter. Our copper helps wind turbines power cities, and our boron helps feed the world and explore the universe. Our diamonds help us celebrate the best parts of life.

Every Voice Matters 

We particularly welcome and encourage applications from Indigenous Peoples, women, the LGBTI+ community, mature workers, people with disabilities and people from different cultural backgrounds.

We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome –they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.

Next steps… 

Please note, in order to be considered for this role you must complete all pre-screening questions.

*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.

Ce logiciel, basé sur un PC, gère les informations transmises par le véhicule électrique. Le poste permet l’interfaçage avec la plupart des modules électroniques présents dans le véhicule.
DESCRIPTION DU POSTE
– Déterminer les informations à intégrer dans le logiciel ;

– Développer l’interface du logiciel ;

– Participer à l’architecture du logiciel ;

– Programmer le logiciel en C# et Python ;

– Traiter les données du véhicule (bus CAN) ;

– Effectuer des tests unitaires et d’intégration sur les véhicules ;

– Travailler avec différents composants électroniques du véhicule ;

– Comprendre le fonctionnement électrique et logiciel des composants à partir de leurs fiches techniques ;

– Contrôler les différents systèmes du véhicule par programmation.
COMPÉTENCES
– Programmation C# orientée objet ;

– Programmation Python orientée objet, un atout ;

– CANbus et CANalizer, un atout ;

– Matlab, un atout.

– Capacité à communiquer efficacement ;

– Capacité à travailler en équipe ;

– Capacité d’analyser les fiches techniques et les schémas électriques ;

– Capacité d’apprendre rapidement de nouveaux concepts ;

– Capacité à établir des priorités ;

– Capacité à respecter les délais.

– Faire preuve de rigueur ;

– Faire preuve d’un bon esprit de synthèse ;

– Faire preuve d’autonomie.

– Baccalauréat en génie informatique ou en génie électrique en cours.

– Expérience en programmation orientée objet.