Data Engineering Intern supporting project teams developing customer solutions through exploratory data analysis, utilizing knowledge of statistics, programming, data modeling, and advanced mathematics to drive business decisions.
Locations (5)
Toronto, Ontario, Canada
Calgary, Alberta, Canada
Vancouver, British Columbia, Canada
Ottawa, Ontario, Canada
Montreal, Quebec, Canada
Compensation
Toronto $25 per hour
Calgary $25 per hour
Vancouver $25 per hour
Ottawa $25 per hour
Montreal $25 per hour
Support DNV Energy Systems Risk Management team in digitalization tasks, maintaining digital tools, ensuring compliance, and assisting product managers.
Responsibilities
Support in maintaining digital tools within Synergi Life
Ensure compliance with Management System requirements for digital software development
Assist Product Managers with day-to-day activities and independent tasks
Speed up digitalization of the Risk Advisory portfolio
Requirements
Bachelor’s or Master’s Student in Business Informatics, Digital Business or Digital Management (or relevant degree discipline)
Diagnose machine errors, analyze printer logs, and provide technical support for Formlabs 3D printers to customers across EMEA.
Responsibilities
Diagnose machine errors and root‑cause complex technical issues across mechanics, electronics, optics, firmware, software and resin/powder materials
Analyze printer logs, error codes and print failures to pinpoint what went wrong
Run hands‑on tests and reproduce issues on Formlabs printers in our Budapest lab
Guide customers, distributors and resellers in the EMEA region through technical fixes by phone, email, chat and video
Escalate bugs, document recurring issues and feed real‑world data into product improvements
Requirements
Bachelor’s or Master’s degree in a STEM field (e.g. mechanical, electrical, mechatronics, materials, chemical or biomedical engineering, physics or a related field)
Nice to have: hands‑on experience from university projects, labs, theses, student teams
Support passionate project teams developing customer solutions through exploratory data analysis
Use knowledge of statistics, programming, data modeling, and advanced mathematics to recognize patterns, identify opportunities, ask business questions, and make valuable discoveries
Provide feedback on data visualization techniques and opportunities
Stay up-to-date on current trends in AI, cloud computing, and big data
Be introduced to implementing big data architectures with tools such as Hadoop, Spark, Databricks, Azure Synapse Analytics, and Kafka
Requirements
Currently pursuing a bachelor's degree in a technology-related field
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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