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Internship Microsoft Data Engineer Jobs in Ontario

Build and support enterprise data pipelines and integrations across Microsoft Azure data platforms ... systems Collaborate with engineering teams on platform modernization initiatives Help ...

University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst * Strong hands-on SQL and ideally dbt ...

University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst * Strong hands-on SQL and ideally dbt ...

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server ...

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server ...

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server ...

As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing ... Extensive experience with Microsoft data integration tools, specifically Azure Data Factory (ADF ...

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server ...

What You'll Bring * 1+ years of experience, internship experience, academic project work, or equivalent practical exposure in data engineering, analytics engineering, database development, software ...

Our engineers are the technical visionaries behind our innovative solutions. Globally recognized ... Develop and maintain ETL processes using Microsoft SSIS and/or Microsoft Fabric Data Pipelines

Databricks Data Engineer and/or Microsoft Azure Data Engineer certification is considered an asset. * 6+ years of experience in data engineering, data platform engineering, or data architecture ...

New

Associate Data Engineer

Cambridge, ON · Hybrid

CA$57K - CA$90K/yr

As an Associate Data Engineer at Gore Mutual Insurance, you have a strong technical background in ... Exposure to Cloud based Services, preferably Microsoft Azure. * Understanding with software design ...

Data Engineer, Data Platform

Toronto, ON · On-site

CA$85K - CA$100K/yr

This is a hands-on engineering role for someone who thrives in code, designing and delivering high ... Build and maintain Microsoft Fabric Lakehouses, Warehouses, and workspaces within the enterprise ...

Support data engineering execution across complex application development initiatives, ensuring ... Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

Data Engineer 25-0167 Resume Due Date: Tuesday June 9th 2026 (5:00PM EST) Number of Vacancies: 1 ... Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SQL Databases ...

As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and ... Microsoft SQL Server, Azure SQL, Stored procedures * API : Node.JS, Apigee * Power BI & Analytics

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Showing results 1-20

Internship Microsoft Data Engineer information

What is the difference between Internship Microsoft Data Engineer vs Data Analyst Intern?

AspectInternship Microsoft Data EngineerData Analyst Intern
Required CredentialsBasic programming, SQL, cloud fundamentalsStatistics, Excel, SQL basics
Work EnvironmentCloud platforms, data pipelines, coding tasksData visualization, reporting, analysis
Employer & Industry UsageTech companies, cloud services, data engineering teamsBusiness, marketing, finance sectors

Internship Microsoft Data Engineer and Data Analyst Intern roles share foundational skills like SQL and basic programming. However, the Data Engineer internship focuses more on building data pipelines and working with cloud platforms, while the Data Analyst internship emphasizes data analysis and visualization. Both roles are valuable entry points into data careers, but they cater to different skill sets and industry needs.

What cities in Ontario are hiring for Internship Microsoft Data Engineer jobs?

Cities in Ontario with the most Internship Microsoft Data Engineer job openings:

Sales Representative- Microsoft Data & AI

OSI Digital

Toronto, ON • On-site

CA$50K - CA$120K/yr

Full-time

Re-posted 26 days ago


Job description

Job Title:  Sales Representative– Microsoft Data & AI Consulting Services
Employment: Full-time 
Location: Toronto, Canada
OSI Digital is a global consulting firm with over three decades of experience helping organizations accelerate their digital transformation. As a trusted partner, we enable enterprises to reimagine what’s possible with their data, from building scalable cloud ecosystems to infusing AI into everyday decision-making, we deliver end-to-end solutions across modern data platforms, advanced analytics, AI/ML, and cloud enablement, helping businesses unlock agility, intelligence, and measurable growth.
As part of our growing Data Analytics Practice, we are seeking a seasoned Sales Representative who can build and expand our Microsoft stack-based data analytics business, focusing on developing and closing new business opportunities in Microsoft’s data and AI landscape.
 Role SummaryWe’re seeking a strategic sales representative with a proven ability to close complex Data and AI consulting engagements and acquire new enterprise clients within the Microsoft ecosystem. This position is ideal for a seasoned professional with a strong record of driving revenue growth through consultative selling, building executive-level relationships, and uncovering high-value opportunities across Data Engineering, Data warehousing, Analytics, and AI solutions. The role demands a true hunter mindset, someone skilled at identifying, pursuing, and converting new business opportunities within Microsoft’s Data & AI landscape.
The candidate will be responsible for generating new business, building long-term client relationships, and driving revenue growth through consultative selling of Microsoft Stack – Data, Analytics, Visualizations & AI Solutions.
 Key Responsibilities:
  • Identify and qualify potential customers through outbound prospecting, networking, events, and inbound inquiries.
  • Leverage your current network to solicit and provide our Data Analytics consulting services in the Microsoft stack.
  • Stay current with Microsoft’s Data & AI roadmap, industry trends, and competitor offerings to shape positioning and differentiate OSI in the marketplace.
  • Drive go-to-market strategies in collaboration with marketing and leadership teams. Ensure our sales strategy is perfectly aligned with Microsoft’s newest offerings and incentives, positioning us ahead of the competition.
  • Negotiate pricing, contract terms, and close deals to meet or exceed sales quotas and revenue targets.
  • Manage the full sales lifecycle — from lead generation to deal closure and handoff to delivery.
  • Coordinating with internal practice leads to craft compelling proposals, SOWs, and pricing strategies aligned to client needs.
  • Define ideal customer profiles (ICPs) and target account lists, mapping key decision-makers such as CIOs, CDOs, and VPs of Data, IT, and Finance.
  • Build and nurture long-term client relationships to maintain a strong pipeline of qualified leads.
 Required Qualifications:
  • Bachelor’s degree in business, Marketing, Engineering, or a related field required; MBA preferred.
  • Minimum of 5+ years of experience in IT services, technology, or consulting sales focused on Data, Analytics, Cloud Solutions, and AI, including at least 4+ years of demonstrated success selling within the Microsoft technology ecosystem.
  • Strong conceptual and commercial understanding of Microsoft’s Data and AI services, including Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Power BI, and Azure Machine Learning.
  • Experience selling both project-based consulting and managed services is highly desirable.
  • Experience in Account Management, including generating new business and exceeding consumption-based revenue targets.
  • Established connections within Microsoft’s sales and partner ecosystem, as well as relationships with enterprise customers leveraging Microsoft technologies.
  • Demonstrated success in positioning and selling complex consulting and professional services by aligning business challenges with data- and AI-driven solutions.
  • Skilled in developing go-to-market strategies, defining ideal customer profiles (ICPs), and building targeted account plans to drive pipeline growth and new logo acquisition.
  • Exceptional ability to articulate business value, deliver compelling proposals, and present to C-level and VP-level executives.
  • In-depth awareness of industry trends, competitive landscape, and Microsoft partnership programs to identify differentiation opportunities.
Preferred Qualifications:
  • Established relationships with Microsoft account teams and partner organizations, experience with co-sell and commercial marketplace motions.
  • Familiarity with data-driven transformation initiatives across industries such as manufacturing, healthcare, financial services, construction, and retail.
  • Microsoft Solution Sales or Azure-related certifications (e.g., Microsoft Certified: Azure Fundamentals, Data & AI Fundamentals) are a plus.
  • Proven experience selling data and analytics solutions within adjacent ecosystems such as Snowflake, Databricks, Tableau, and other non-Microsoft cloud platforms.
 How to ApplySend your resume and a brief note describing two recent net-new Microsoft Data/AI wins (problem, solution, TCV, your role, outcome).
 

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