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Data Engineer Project Jobs in Toronto, ON (NOW HIRING)

Senior Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

... projects, and where employees are supported and engaged in doing so. We are currently seeking a Senior Data Engineer to join the Data, AI & Analytics (DNA) Team. A successful data engineering ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Ability to manage multiple projects and priorities in a fast-paced environment. Specialized ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Ability to manage multiple projects and priorities in a fast-paced environment. Specialized ...

Lead multiple complicated projects involving backend systems, new technology, and the enhancement ... The Cloud Data Engineer ensures the quality and reliability of data products through the creation ...

New

Lead multiple complicated projects involving backend systems, new technology, and the enhancement ... The Cloud Data Engineer ensures the quality and reliability of data products through the creation ...

... business needs and project lifecycle deliverables, including data sharing and governance ... Programming & Automation: Strong scripting skills in Python for automation and tool development and ...

Posted today

Senior Data Engineer

Mississauga, ON · On-site

CA$130K - CA$140K/yr

... projects? Do you enjoy solving complex problems and creating seamless data flows? If so, we have ... As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing ...

We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization ...

Citi is looking for a Senior Data Engineer at Vice President level to design and lead high ... Track record of delivering and managing successful technology projects from requirement definition ...

Contribute to code-review sessions and ensure overall code quality aligns with business and project ... DevOps, Azure Monitor and Azure Data Catalogue/Purview. * You're digitally savvy and seek out ...

Contribute to code-review sessions and ensure overall code quality aligns with business and project ... DevOps, Azure Monitor and Azure Data Catalogue/Purview. * You're digitally savvy and seek out ...

Showing results 41-60

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

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

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What job categories do people searching Data Engineer Project jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Project jobs in Toronto, ON are:

Infographic showing various Data Engineer Project job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Toronto, ON • On-site

CA$69K - CA$119K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 23 days ago


Job description

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

We are currently seeking a Senior Data Engineer to join the Data, AI & Analytics (DNA) Team. A successful data engineering candidate will demonstrates a deep understanding of database concepts, data pipeline design, while also having the ability to communicate complex ideas clearly, and have experience in implementing scalable solutions that have positively impacted business outcomes.

WHAT YOU WILL DO

  • Design, build, and optimize highly scalable, reliable data pipelines to support ELT/ETL to/from diverse source systems and platforms.
  • Develop reusable frameworks and automation to standardize data ingestion, transformations, reconciliations, testing, and monitoring.
  • Perform thorough code reviews to ensure solutions meet performance, scalability, security, and maintainability standards.
  • Define, document, and enforce data engineering standards for the platform.
  • Partner closely with business & analytics stakeholders to translate requirements into scalable technical solutions.
  • Maintain and improve the CI/CD pipeline for data platforms, including source control, build, test, and deployment workflows (e.g., Bitbucket, Jenkins, automated testing).
  • Troubleshoot and resolve production issues such as data quality defects, pipeline failures, performance bottlenecks, and dependency breaks.
  • Proactively identify opportunities to optimize and harden existing pipelines for reliability, observability, and operational efficiency.

WHAT YOU WILL BRING

  • 8+ years of handson experience in data engineering, building and operating scalable ELT/ETL pipelines and data integration solutions.
  • 4+ years of experience with data warehousing and Snowflake.
  • Strong SQL expertise and solid experience with dbt, including model design and testing
  • Experience with CI/CD pipelines for data platforms, including source control, automated testing, and deployments (e.g., Bitbucket, Jenkins, Git-based workflows).
  • Strong understanding of data architecture and data modeling
  • Ability to diagnose and solve complex, openended problems and deliver productionready solutions.
  • Experience supporting production data platforms, including troubleshooting performance, and pipeline reliability issues.
  • Experience with Data Vault 2.0 is an asset.
  • Experience in the Financial Services Industry is an asset.

This opportunity is for an existing vacancy with the company. The anticipated base salary range for this position is $69,500 - $119,500. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a bonus program. In addition, The Company offers a variety of benefits to eligible employees, including health insurance coverage, wellness programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.

This role follows our inoffice work model and requires employees to be onsite four days per week to support collaboration and business needs.

CI Financial is an independent company offering global wealth management and asset management advisory services through diverse financial services firms. Since 1965, we have consistently anticipated and responded to the changing needs of investors. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice. Our commitment to the highest levels of performance means that whatever their position, CI employees must be comfortable in a fast-paced environment that will stretch them to tap into their highest potential. Employees with a healthy dose of ambition, a desire to commit to a curious mindset for continuous learning, and a willingness to go the extra mile thrive at CI.

A Supportive Environment for Success

We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.

WHAT WE OFFER

  • Modern HQ location within walking distance from Union Station
  • Training Reimbursement
  • Paid Professional Designations
  • Employee Savings Plan (ESP)
  • Corporate Discount Program
  • Enhanced group benefits
  • Parental Leave Top-up program
  • Paid time off for Volunteering

We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking "Apply". Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates ("CI") are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us ataccessible.recruitment@ci.com, or call 416-364-1145 ext. 4747.