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

Data Engineer (PySpark)

Mississauga, ON

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... project management techniques/methods Ability to work under pressure and manage deadlines or ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Engineer (PySpark)

Mississauga, ON

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... project management techniques/methods Ability to work under pressure and manage deadlines or ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Senior Data Engineer

Mississauga, ON ยท Hybrid

CA$105K - CA$120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Our challenge We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake ... Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance ...

Lead Data Engineer (Director Level)

Toronto, ON ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deliver projects across data ingestion, engineering, visualization, and decision-making. Own the data domain and strengthen engineering quality * Serve as a data-domain subject matter expert and ...

Business Systems Analyst/Data Engineer

Toronto, ON ยท On-site +1

  • Medical

  • Life

  • Retirement

The Role We're looking for a Business Systems Analyst / Data Engineer to combine strong business ... You'll collaborate with cross-functional teams throughout the project lifecycle, helping transform ...

Senior Data Engineer

Mississauga, ON

CA$130K - CA$140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... 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 ...

The engineer will follow end-to-end process standards and guidelines to ensure accurate and efficient build out of Data Quality architecture within project timeframes. WHAT WILL YOU DO? * Implement ...

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.

Principal Data Engineer - Tangerine

Scotiabank

Toronto, ON โ€ข On-site

Full-time

Re-posted 17 days ago


Job description

Requisition ID: 250871

Tangerine is Canada's leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It's important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

Are you ready to make the change and become part of an established disruptor with the backing of a highly engaged team? If so come join us and help redefine the Canadian banking landscape!

What you will be doing:

Builds out a new data engineering platform for Tangerine to enable business analytics and production AI and ML applications, in support of business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

Is this role right for you?ย 

  • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Participates in the design and implementation of the Tangerine data engineering strategy and platform, advising senior leadership and executing on the vision with senior architects and the development team.
  • Collaborates with data scientists, data analysts, and software engineers to understand user requirements and inform the design and development of data engineering features.
  • Hands on development on highly complex initiatives.
  • Champions a data design pattern and architecture that supports Tangerine business needs and collaborates with senior architects on pipeline design to support our architectural vision.
  • Mentors technical leads and high-potential data engineers by providing stretch-goals and feedback through design and code reviews.
  • Remains delivery focused and help the team to resolve technical impediments.
  • Influences product roadmap by working closely with product team and by providing technical insights and suggestions.
  • Champions application security best practices and ensure security-by-design in data access and processing. Work closely with security architecture and security advisory committee to ensure continued adherence to directives and all security practices.
  • Advances our testing processes including unit, integration, functional, non-functional and security testing.
  • Keeps up with innovation in the field of data and AI, enabling advancements around cloud, agentic AI, and production ML workloads.
  • Champions a high-performance environment and contributes to an inclusive work environment.
  • Understands how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

Do you have the skills that will enable you to succeed in this role?

  • 12+ years of data engineering industry experience with a minimum of 8 years designing data platforms for large, complex enterprise applications.
  • Experience as a technical leader for large technology programs and initiatives
  • Knowledge of/or hands-on experience with data and data warehousing technologies
  • Experience shaping and communicating the design pattern to store, organize, process and prepare data for various business purposes
  • Experience building, architecting, designing, and implementing data pipelines to support multiple types of downstream needs, ranging from reporting and analytics to production ML inference pipelines and agentic workflows.
  • Experience designing and implementing public cloud-based applications on Google Cloud Platform and other cloud platforms (AWS, Azure)
  • Familiarity with DevOps practices and knowledge of enhancing CI/CD pipelines.
  • Excellent interpersonal, communication, and influencing skills with the ability to build and foster relationships with business partners, project stakeholders, strategic technology partners and external vendors.
  • Commitment to maintaining a diversified set of skills through continued education and mentoring peers and junior and senior team members.
  • Ability to collaborate across team and organizational boundaries, build relationships, and achieve broader organizational goals.
  • Experience working with 3rd party vendors including defining SLOs, limitations, security assessments, etc. to achieve business goals.

What's in it for you?

  • You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
  • You will have access to thousands of online and in-person courses so you can shape your career growth with support from diverse industry leaders.
  • You will get our help to save for your future and to invest in your total well-being through our Tangerine benefits*.
  • You belong here, and we are equal and uncomplicated. Bring your true self to work, dress codes don't apply here.
  • You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.

Location(s):ย  Canada : Ontario : Toronto

At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.