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Weekend Data Engineer Internship Jobs in Quebec (NOW HIRING)

Engineer / Master degree in Digital Technology, Data/AI, Industrial Engineering or Railway / Mechanical / Electrical Engineering Experience (internship / apprenticeship / junior role) in at least one ...

This internship provides hands-on exposure to a dynamic manufacturing environment and offers the ... Support data collection, analysis, and reporting of test results * Collaborate with engineering and ...

An internship in Corporate Finance at National Bank means contributing to financial analysis ... Programming knowledge, e.g. Python, SQL or VBA. Ability to synthesize large amounts of information ...

An internship in Corporate Finance at National Bank means contributing to financial analysis ... Programming knowledge, e.g. Python, SQL or VBA. * Ability to synthesize large amounts of ...

An internship in Corporate Finance at National Bank means contributing to financial analysis ... Programming knowledge, e.g. Python, SQL or VBA. * Ability to synthesize large amounts of ...

Support data migration processes, ensuring smooth data import, mapping, and validation. * Help with ... Minimum one year work experience in a computer programming (Coop internships or other) * Experience ...

Field Service Engineer

Bromont, QC · On-site

CA$35 - CA$50/hr

Minimum 5 years of experience in Microsoft Office Suite and data analysis tools. * Minimum 5 years ... Willingness to support critical after-hours or weekend work After you apply, you may receive a call ...

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Weekend Data Engineer Internship information

What is the difference between Weekend Data Engineer Internship vs Weekend Data Analyst Internship?

AspectWeekend Data Engineer InternshipWeekend Data Analyst Internship
Required SkillsData pipeline development, SQL, Python, cloud platformsData visualization, SQL, Excel, basic analytics
Work EnvironmentTechnical teams, data engineering projectsBusiness teams, reporting and analysis tasks
Industry UsageTech, finance, e-commerceMarketing, retail, consulting

The Weekend Data Engineer Internship focuses on building and maintaining data pipelines and infrastructure, requiring technical skills like Python and cloud platforms. In contrast, the Weekend Data Analyst Internship emphasizes analyzing data and creating reports, with skills in visualization and Excel. Both roles are part-time, involve working with data teams, and are common in various industries, but they serve different functions within data management and analysis.

What cities in Quebec are hiring for Weekend Data Engineer Internship jobs? Cities in Quebec with the most Weekend Data Engineer Internship job openings:
Digital Asset Management Specialist

Digital Asset Management Specialist

Keolis

Montreal, QC • On-site

Other

Posted 2 days ago


Job description

Digital Asset Management Specialist 

Maintenance 

Keolis Canada est un leader du transport collectif, avec plus de 2000 employes dedies a offrir des solutions de mobilite multimodale sures, fiables et durables partout au pays. Engagee envers l'excellence operationnelle, l'innovation et l'experience client, l'entreprise contribue activement a rendre les deplacements plus accessibles et efficaces, tout en ayant un impact positif sur les communautes et l'environnement. Filiale du Groupe mondial Keolis, detenu par la SNCF (70%) et la Caisse de depot et placement du Quebec (CDPQ) (30%), Keolis Canada beneficie de l'expertise d'un Groupe present dans 13 pays, avec pres de 70000 collaborateurs et un chiffre d'affaires de 7,7milliards d'euros en 2025.

We are looking for a talented young graduate with a strong interest or first experience in railway maintenance who is eager to drive digital innovation in asset management, predictive maintenance and operational reliability. You will play a key role in streamlining the daily delivery of our High-Speed Rail project-from initial studies through to commissioning-and support Canada Rail's journey to becoming a fully data-driven operator.

This role is ideal for someone who understands or wants to understand how trains and infrastructure are actually maintained and who is excited about using data, AI and digital tools to improve safety, availability and lifecycle cost.

Based in Montreal (CA), the Digital Asset Management Specialist will drive digital innovation for railway maintenance, he will more specifically:

- Identify, structure and coordinate innovation initiatives with maintenance, depot and field teams, with a focus on:
               *Predictive maintenance for rolling stock and infrastructure (e.g. traction, braking, doors, HVAC, signaling/telecom assets, track & catenary components)
               *Condition-based maintenance and optimization of inspection intervals using operational data
               *Health monitoring of critical assets (on-board and trackside) through IoT sensors and event logs
               *Digital twins of assets, depots or critical subsystems to simulate failures and maintenance scenarios
               *Innovative solutions to reduce service disruptions, improve Mean Time Between Failures (MTBF) and optimize spare parts management

- Enable the digitalization of asset management systems by providing support to :
               * Definition of data requirements for maintenance from the design and procurement stages (sensors, log files, maintenance logs, CMMS data, RAMS indicators).
               * Description of a target Enterprise Asset Management System taking into account the constraints of railway maintenance operations
               * Transition planning of existing operator's maintenance systems including ILS, depot and field maintenance systems

She / he collaborates closely with all Canada Rail staff and with Cadence innovation team
She /he engages actively with the innovation and digital communities at Keolis and SNCF, leveraging their methodologies and expertise to accelerate innovation

Education

  • Engineer / Master degree in Digital Technology, Data/AI, Industrial Engineering or Railway / Mechanical / Electrical Engineering

Experience (internship / apprenticeship / junior role) in at least one of the following (preferably in a railway or industrial context) 

- Maintenance engineering or asset management
- Use of AI, analytics or automation tools to support maintenance or operations
- CMMS / EAM systems (e.g. Maximo, SAP PM, Infor, etc.) or maintenance data analysis

Soft Skills

  • Capacity to agregate, make connections between people and ideas
  • Adaptability to change