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Temporary Azure Data Factory Jobs in Toronto, ON

Senior Data Engineer

Mississauga, ON ยท On-site

CA$130K - CA$140K/yr

Develop and optimize ETL/ELT pipelines using modern data integration solutions like Azure Data Factory to integrate complex data sources, ensuring accuracy, reliability, and performance. * Ensure ...

25-125 FinOps Engineer

Pickering, ON ยท Remote

$80 - $95/hr

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Additional skills in Azure Data Factory, Databricks, SaaS/platform devleopment, or distributed data ...

Monitor and support live data pipelines and data platform components Troubleshoot failed jobs, incidents and data-related issues Support ETL/ELT processes using Azure Data Factory, Synapse Analytics ...

Data Engineer

Markham, ON ยท On-site

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Data Engineer

Concord, ON ยท On-site

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Collibra, and Power Bl. Work within the agile SCRUM work management ...

Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric. * Python, working proficiency for scripting, automation, and data pipeline support. * JS, Node.js, ...

Support cloud and hybrid data platforms including Azure Data Factory pipelines and Power BI Report Server, handling deployments and troubleshooting. * Ensure compliance with data governance and ...

25-053 Data Architect

Pickering, ON ยท On-site +1

$85 - $100/hr

Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power Bl Work within the agile SCRUM work ...

Strong hands-on experience with Azure cloud data services, including Azure Data Lake Storage , azure data factory, and related cloud-native data platform components. * Strong experience with ...

Deep hands-on experience with orchestration and deployment tools (e.g., Apache Airflow, Azure Data Factory, Git, and CI/CD frameworks). * Data Design: Strong grasp of data modeling methodologies ...

App. Data & BI Developer

Concord, ON ยท On-site +1

$115K/yr

NET MVC, SQL Server, Azure Data Factory, Power BI, and Python--to improve existing systems, deliver new functionality, and ensure the availability, reliability, and integrity of business data and ...

Showing results 21-40

Temporary Azure Data Factory information

What is a temporary Azure Data Factory role?

Temporary Azure Data Factory roles refer to short-term positions where professionals are hired to design, implement, and manage data integration workflows using Microsoft Azure Data Factory. These roles often involve tasks such as building ETL pipelines, migrating data to the cloud, and ensuring the smooth flow of data between sources and destinations. Temporary roles are typically project-based or to cover peak workloads, providing organizations with specialized expertise for a limited duration.

What are the typical challenges faced by professionals in a temporary Azure Data Factory role, and how can they be addressed?

Professionals in a Temporary Azure Data Factory role often face challenges such as quickly understanding existing data pipelines, integrating with legacy systems, and ensuring data security within tight project deadlines. Adapting to varying documentation standards and collaborating efficiently with cross-functional teams are also common hurdles. Success in this role often comes from leveraging strong communication skills, proactively seeking clarification from stakeholders, and maintaining a structured approach to troubleshooting and documentation. Familiarity with Azure's best practices and automation can help streamline onboarding and project delivery.

What are the key skills and qualifications needed to thrive as a temporary Azure Data Factory specialist, and why are they important?

To thrive as a Temporary Azure Data Factory specialist, you need expertise in data integration, ETL processes, and proficiency with cloud-based data platforms, typically supported by experience in SQL and a background in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Strong problem-solving, analytical thinking, and communication skills help you design efficient data pipelines and collaborate with diverse teams. These qualifications ensure reliable, scalable data solutions that meet organizational needs within tight project timelines.

What is the difference between Temporary Azure Data Factory vs Data Engineer?

AspectTemporary Azure Data FactoryData Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, project-specific, short-termLong-term, team-based, often on-premises or cloud
Employer & IndustryTech companies, consulting firms, project-based rolesLarge enterprises, finance, healthcare, ongoing data infrastructure

Temporary Azure Data Factory roles focus on short-term data integration projects using cloud tools, requiring specific Azure certifications. Data Engineers have broader responsibilities, building and maintaining data pipelines long-term, with more extensive technical skills. Both roles are vital in data management but differ mainly in scope and duration.

What are the most commonly searched types of Azure Data Factory jobs in Toronto, ON?

The most popular types of Azure Data Factory jobs in Toronto, ON are:

What job categories do people searching Temporary Azure Data Factory jobs in Toronto, ON look for?

The top searched job categories for Temporary Azure Data Factory jobs in Toronto, ON are:

Infographic showing various Temporary Azure Data Factory job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Software Engineer - Data

Forum Asset Management

Toronto, ON โ€ข On-site

Full-time

PTO

Re-posted 27 days ago


Key responsibilities

  • Design, build, and evolve Forum's enterprise data platform using Microsoft Fabric and related Azure services.

  • Lead large-scale data initiatives, migrations, and integrations across internal and external systems.

  • Develop enterprise-grade ETL/ELT pipelines and AI/ML-powered workflows to enable data-driven decision-making.


Job description

Forum Asset Management – Software Engineer - Data


Location: 181 Bay Street, Toronto


Work Schedule: Full-time, in-office (5 days/week)


About Forum:

Delivering Extraordinary Outcomes™ through Investment.

Forum Asset Management is a North American investor, developer, and asset manager with a 30+ year track record of delivering long-term value through real estate, private equity, and infrastructure investments. We are a purpose-driven firm committed to sustainability, responsible investing, and making a positive impact in the communities where we invest.

With over $4 billion in AUM, Forum is one of Canada's most dynamic investment platforms. In 2024, we completed the country’s largest real estate transaction through our acquisition of Alignvest Student Housing, making us the largest owner and developer of Purpose-Built Student Accommodations (PBSA) in Canada. Our open-ended Real Estate Income and Impact Fund (REIIF) is now over $2.9 billion, backed by a $4.0 billion+ development pipeline that spans coast to coast.

Forum is also building one of the fastest-growing self-storage platforms in Canada, focused on acquiring, developing, and operating institutional-grade storage facilities in undersupplied urban markets.

Forum is a values-led, high-performance organization. We embrace agility and innovation, and we strive to foster a team culture grounded in integrity, collaboration, humility, and results. Our growth is fueled by our ability to identify structural real estate themes and deliver strategies that balance income, impact, and long-term value creation.


Position Overview:

We’re looking for a Software Engineer - Data to design, build, and evolve Forum’s next-generation enterprise data platform using the Microsoft Fabric technology stack (or a suitable alternative). This role sits at the intersection of data engineering and software development; you’ll build software that relies heavily on data. From ingesting and cleaning complex datasets to developing full-stack applications that surface insights, you’ll architect the full data lifecycle: ingestion, transformation, modeling, analytics, and AI enablement.


You’ll play a key role in creating scalable, production-grade systems that turn raw data into business intelligence, powering Forum’s investment, real estate, and operational strategies. This is a rare greenfield opportunity to shape both the platform architecture and the suite of data-driven tools built on top of it.


This is a hands-on, in-office role with high visibility. You’ll act as a trusted advisor and technical authority, collaborating with investment professionals, business leaders, analysts, and software developers to design enterprise-grade systems and AI-powered workflows that drive measurable business value. Your work will lay the foundation for our long-term data strategy and the future of decision-making at Forum.


Key Duties and Responsibilities:

  • Contribute to the end-to-end design and evolution of Forum’s Lakehouse architecture Microsoft Fabric, Azure Data Factory, Synapse, ADLS, and related Azure services.
  • Lead large-scale data initiatives, migrations, and integrations across diverse internal and external systems.
  • Design and optimize enterprise-grade ETL/ELT pipelines for high-volume, high-complexity data.
  • Develop AI/ML-powered workflows using tools like Azure OpenAI, Document Intelligence, and Azure ML.
  • Create internal APIs and tools to enable self-serve analytics and data access across departments.
  • Partner with business teams across real estate, private equity, and operations to identify data opportunities and implement tailored solutions.
  • Promote best practices in data governance, automation, and AI application across Forum’s technology ecosystem.


Candidate Profile:

  • 2-3 years of progressive experience in software engineering, data engineering, and/or data science, with a proven record of designing and delivering enterprise-scale, data-driven software solutions.
  • Experience within the Microsoft Azure ecosystem, including Microsoft Fabric, Azure Data Factory (ADF), Synapse, ADLS Gen2, and Power BI.
  • Proficient in Python for data engineering, automation, API integration, and full-stack development workflows.
  • Strong grasp of data lifecycle management — from ingestion and cleaning of raw, unstructured datasets to modeling, transformation, and visualization for decision-making.
  • Experience working with big data environments and optimizing pipelines for scale, performance, and reliability.
  • Hands-on experience with web scraping and external data acquisition, transforming diverse public and private data sources into structured, usable datasets.
  • Applied understanding of AI concepts and practical experience leveraging LLMs (e.g., Azure OpenAI, generative AI models, or document intelligence services) to automate data analysis, classification, or prediction tasks.
  • Proven ability to evaluate, prototype, and deploy emerging AI/ML solutions that create measurable business value.
  • Exceptional data presentation and storytelling skills, capable of conveying complex technical insights to non-technical stakeholders.
  • Entrepreneurial mindset, comfortable operating in ambiguity and turning loosely defined problems into working, scalable solutions.
  • Background in a private equity, real estate, asset management, and/or startup experience preferred.


Culture and Pace at Forum:

Forum thinks of itself as a 30-year-old start-up: dynamic, entrepreneurial team focused on creating value and positive impact. Our BHAG: grow the business to an AUM of at least $15 billion by 2030 while positively impacting a minimum of 50,000 lives. Marketing is one of the engines that gets us there, and we are looking for someone hungry to build it. Our core values are High Performance, Innovation, Integrity, Diversity and Impact. It is worth being direct about what that feels like day to day, because fit matters to us as much as credentials:


  • Velocity is cultural. We are an AI-forward firm where work that used to take weeks ships in days. You will prototype fast, measure, and keep what pays — “GSD” is written into our culture, and we mean it.
  • The scoreboard is visible. We run a written operating cadence with metrics reviewed weekly, from leasing velocity to campaign performance. People who like scoreboards thrive here.


If reading this gives you energy rather than pause, you will do well here — and we want to meet you.


Invest in Yourself: 

  • Excellent Benefits – A top-tier insurance program designed to keep you healthy, active, and supported, plus a $1,000 annual wellness credit.
  • Competitive Total Rewards – We value our team members and offer a well-rounded package that includes competitive pay, paid time off, and performance-based incentives.
  • Compensation – We are committed to supporting your success and are offering a salary range of $80,000 – 100,000 CAD for this position.
  • Employee Match Program – Invest alongside Forum with access to a matching contribution program.
  • Learning and Development Opportunities – Access support for professional designations, TTI behavioural assessments, and quarterly learning forums to grow your skills and industry knowledge. We believe in Best Idea Wins and foster an entrepreneurial environment where your input has real impact.
  • AI-Native by Design – Every team member, regardless of role, gets hands-on access to enterprise-grade AI tools from day 1. AI is core to how we work and how we measure impact. You'll be challenged to build fluency fast, and in return you'll grow into a genuine expert who's ahead of the market.
  • Diverse & Inclusive Team – We celebrate diverse perspectives and are committed to maintaining the highest standards of equity and inclusion.
  • Employee Referral Program – Receive a generous bonus when your referral joins our team.
  • Social Impact - Enjoy paid volunteer days and opportunities to participate in team-led community initiatives.
  • Quarterly All Teams – Sessions with your colleagues across the business to share insights, celebrate success, and spotlight culture.
  • Lunch & Learns – Regular opportunities to connect, learn, and exchange knowledge with peers across the business.


Artificial Intelligence (AI) Usage:
Forum uses AI tools to support the screening and assessment of applications for this role. These tools inform, but do not replace, the judgment of our human hiring team, who make all final hiring decisions.


Forum Commitment:

At Forum, we encourage diversity. We are committed to an inclusive workplace that reflects our belief that diversity is central to building a high-performing team. Forum is an equal opportunity employer. We are committed to providing accessible employment practices. Should you require an accommodation during any phase of the recruitment process, please let the recruitment team know recruiting@forumam.com

At Forum, we encourage diversity. We are committed to an inclusive workplace that reflects our belief that diversity is central to building a high-performing team. Forum is an equal-opportunity employer. We are committed to providing accessible employment practices. Should you require an accommodation during any phase of the recruitment process, please let the recruitment team know at  recruiting@forumam.com.