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Associate Data Engineer Jobs in Ontario (NOW HIRING)

GEI Consultants

AI Engineer

Concord, ON

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

AI Engineer

Markham, ON

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

AI Engineer

Guelph, ON

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 ... The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing ...

GEI Consultants

AI Engineer

Kitchener, ON

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Omers

Associate Director, Data Platforms

Toronto, ON · On-site

Role Summary Reporting to the Director, AI Strategy and Data Platforms, as the Associate Director ... Qualifications * 7+ years of progressive experience in data engineering, data architecture, or data ...

Walmart

(CAN) Quality Engineer III

Mississauga, ON · On-site

Data engineering background , Pyspark, Kafka Leadership Expectations: Respect the Individual: Demonstrates and encourages respect for others; drives a positive associate and customer experience for ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON

Collaborate with data engineers to ensure reliable, scalable data pipelines that support model ... Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

Collaborate with data engineers to ensure reliable, scalable data pipelines that support model ... Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning ...

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Showing results 41-60

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Ontario

Associate Data Engineer information

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What are the most commonly searched types of Data Engineer jobs in Ontario?

The most popular types of Data Engineer jobs in Ontario are:

What are popular job titles related to Associate Data Engineer jobs in Ontario?

For Associate Data Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Ontario look for?

The top searched job categories for Associate Data Engineer jobs in Ontario are:

What cities in Ontario are hiring for Associate Data Engineer jobs?

Cities in Ontario with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Associate Director, Investment Management Data - SLC Management

Sun Life Financial

Toronto, ON • Hybrid

Full-time

PTO

Posted 14 days ago

Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

90th of 307 rated insurance

Job description

SLC Management is a growing global asset management firm providing innovative and diversified investment solutions to institutional investors. We are breaking new ground with a full spectrum of solutions for a growing institutional client base of more than 1400 organizations. Our history of organic and strategic growth reflects this commitment with over CA$422/US$304 billion in assets under management (AUM). As a subsidiary of Sun Life, we are aligned with one of the world's leading financial services companies, and benefit from the stability and strength of that relationship.

We are a performance-driven organization with a deliberate focus on fostering a development-focused, inclusive culture revolving around our Core Values of being client obsessed, valuing each other, acting with speed and having an owner's mindset. As part of our team, you play a role in fulfilling our purpose and making a difference.We offer a rewarding work environment that is filled with opportunity for growth where you will be empowered to meet the challenges of a highly competitive landscape.

Visit our website to learn more and for the most up to date AUM information.

SLC Management offers a mix of in-office and virtual work where our employees are empowered to do their best. Generally, employees are expected to work three or more days in-office each week with flexibility depending on their business, client and team needs.

Job Description:

Associate Director, Investment Management Data - SLC Management

What is in it for you:

Reporting to the Director, Investments Data Product, this role will be part of a dedicated Agile team and will be accountable for delivering investment data products through a highly dynamic and fast-paced solution development process.

The Associate Director will work closely with business stakeholders, data engineers, architects, and development teams to transform business concepts and data requirements into scalable solutions. This role is accountable for balancing business priorities, user needs, data quality requirements, governance objectives, and technology considerations while ensuring successful business outcomes.

The Associate Director will combine product ownership responsibilities with hands-on data analysis and domain expertise to define, develop, and continuously improve investment data products used across the organization.

What You Will Do

  • Contribute to the strategy, roadmap, and ongoing evolution of investment data products by translating business priorities into scalable solutions that improve decision-making, analytics, operational efficiency, and information management.
  • Partner with business and technology stakeholders to understand business processes, challenges, and data requirements, translating needs into user stories, acceptance criteria, data mappings, process documentation, and solution designs.
  • Perform data analysis, profiling, reconciliation, validation, and root-cause investigations across investment and accounting data domains, while collaborating with engineers and architects to design scalable data models, transformation rules, and reusable data products.
  • Own and prioritize the product backlog, ensuring delivery teams have clear requirements, priorities, and expected outcomes, while actively supporting Agile ceremonies, testing, user acceptance activities, and release readiness.
  • Support enterprise data governance, quality, and control initiatives by establishing and monitoring data standards, testing practices, lineage, metadata, and business glossary requirements.
  • Build strong relationships with stakeholders by communicating product priorities, roadmaps, progress, risks, and outcomes, while supporting change management and user adoption activities.
  • Contribute to the definition, tracking, and achievement of product and initiative objectives and key results (OKRs), measuring success through adoption, data quality, operational efficiency, and business outcomes.


What You Need to Succeed

  • 6+ years of experience in Asset Management, Capital Markets, Investment Operations, Investment Technology, or a related field, with a strong understanding of investment products, portfolios, transactions, performance, benchmarks, market data, reference data, and investment lifecycle processes.
  • Demonstrated experience partnering with business stakeholders in data-intensive environments, including business analysis, requirements gathering, process improvement, data profiling, data mapping, testing, and solution delivery.
  • Strong knowledge of enterprise data management concepts, including data governance, data quality, data modeling, architecture, system integration, investment data platforms, and complex datasets, supported by advanced SQL and analytical skills.
  • Experience working as a Product Owner, Business Analyst, Data Analyst, or similar role within Agile delivery environments, with responsibility for backlog management, prioritization, user story development, and iterative solution delivery.
  • Proven ability to independently solve complex business and technology challenges, manage competing priorities, navigate ambiguity, influence stakeholders, and translate business needs into actionable solutions and measurable outcomes.
  • Experience with investment systems and enterprise data platforms is considered an asset.

Why SLC Management?

  • Opportunity to work for a growing global institutional asset manager
  • Excellent benefits and wellness programs to support the three pillars of your well-being - mental, physical and financial - including generous vacation and sick time, market-leading maternity, parental and adoption leave top up program, a partially-paid sabbatical program and much more
  • Pension, stock and savings programs with an employer-paid match to help build and enhance your future financial security
  • A flexible work environment with a friendly, caring, collaborative and inclusive culture focused on career growth development #WeWinAsATeam
  • The opportunity to move along a variety of career paths with amazing networking potential
  • Award winning workplace culture - Great Place to Work Certified in Canada and the U.S., "Best Places to Work" by Glassdoor, Award for Excellence for Mental Health at Work, "Best Places to Work in Money Management" by Pension & Investments

SLC Management is a regulated business, and this means that there are certain financial reporting and trading preclearance requirements for all employees. Successful candidates will be required to declare personal investment accounts and securities investments as well as seek preclearance on future transactions including those of household members.

Job Category:

Business Analysis - Systems

Salary Range

80,000/80 000 - 128,000/128 000

We are committed to pay transparency and equity. The base salary range for this role is competitive and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined by your unique skills, qualifications, experience, education, and geographic location. In addition to base salary, this position is eligible for a discretionary annual incentive award based on individual and overall business performance along with a broad range of competitive benefits.

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

We will make reasonable accommodations to known physical or mental limitations. Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

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