Data Engineer Jobs in Canada with Visa Sponsorship

Clientserver Tech Systems Inc.
    February 28, 2024
    2560 Matheson Blvd E Mississauga, ON L4W 4Y9, Mississauga, ON
    Job Type



    If you are a skilled data engineer seeking exciting opportunities in a cutting-edge data industry, this article is for you. Canada's data sector is rapidly growing, and data engineers play a pivotal role in designing, building, and optimizing data pipelines and systems. Discover how you can secure a data engineer job in Canada with visa sponsorship and become a part of the country's innovative and data-driven landscape.

    Job Details:

    • Employer Name:  Clientserver Tech Systems Inc.
    • Position: Data Engineer
    • No of Vacancies: 3
    • Salary: $51.00 hourly / 20 to 40 hours per week
    • Employment Type: Full-time,  Part-time
    • Location: 2560 Matheson Blvd E Mississauga, ON L4W 4Y9


    • No degree certificate or diploma


    • 3 years to less than 5 years

    About Canada's Data Industry

    Canada's data industry spans across various sectors, including technology, finance, healthcare, and more. The country's commitment to data-driven decision-making and technological advancement has led to a surge in demand for data professionals.

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    Data Engineer Role in Canada

    Data engineers are instrumental in transforming raw data into actionable insights by building and maintaining data pipelines and infrastructure. They work closely with data scientists and analysts to ensure data is accessible, reliable, and available for analysis.

    Job Overview

    As a data engineer in Canada, you will be involved in designing, implementing, and managing data architecture and data integration processes. Your expertise will contribute to driving business growth and making data-informed decisions.

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    Responsibilities and Duties

    • Data Pipeline Development: Design and develop data pipelines to extract, transform, and load data from various sources.
    • Data Warehouse Management: Create and maintain data warehouses for efficient data storage and retrieval.
    • Data Integration: Integrate data from different systems and databases to create a unified and accessible data environment.
    • Data Quality Assurance: Implement data quality checks and ensure data accuracy and consistency.
    • Infrastructure Optimization: Optimize data infrastructure and cloud-based technologies to enhance performance and scalability.

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    Qualifications and Requirements

    • Technical Expertise: Proficiency in programming languages such as Python, Java, or Scala and experience with data engineering tools and frameworks.
    • Database Knowledge: Familiarity with relational and non-relational databases, SQL, and NoSQL technologies.
    • Big Data Technologies: Experience with big data technologies like Hadoop, Spark, or Apache Kafka is advantageous.
    • Data Modeling: Knowledge of data modeling and database design principles.
    • Problem-Solving Skills: Strong problem-solving abilities to address data engineering challenges effectively.

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    Visa Sponsorship Details

    Canada recognizes the significance of skilled data engineers in its growing data industry and actively welcomes international talent. Employers in various sectors offer visa sponsorship for qualified data engineers, streamlining the process for them to work and contribute to Canada's data-driven landscape.

    Benefits and Perks

    Data engineers in Canada enjoy several benefits, which may include:

    • Competitive salary and opportunities for career growth
    • Exposure to diverse industries and data projects
    • Health benefits and insurance coverage
    • Professional development and training opportunities
    • Work-life balance and flexible working arrangements

    How to Apply

    By email

    Frequently Asked Questions (FAQs)

    1. Does the data industry in Canada prioritize specific data engineering tools or technologies? The data industry in Canada values a diverse skill set, but expertise in popular data engineering tools and technologies is advantageous.
    2. Are there opportunities for data engineers to work on data science projects in Canada? Yes, data engineers often collaborate with data scientists and analysts on data science projects.
    3. Is proficiency in the English language necessary for data engineering roles in Canada? Yes, strong English communication skills are essential for effective collaboration and understanding project requirements.
    4. Are there specialized data engineering roles, such as data infrastructure engineers, in the Canadian job market? Yes, some companies may have specialized data engineering roles based on their specific data infrastructure needs.
    5. What are the typical working hours for data engineers in Canada? Data engineering roles usually follow standard business hours, but some projects may require flexibility.


    As a data engineer, Canada offers you an exciting platform to contribute to the growing data industry and make a meaningful impact on diverse projects. With visa sponsorship opportunities, you can unleash your data engineering expertise and embark on a rewarding career journey in Canada's data-driven landscape. Don't miss the chance to be part of the nation's technological advancements and innovation!

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