Skip to main contentA logo with &quat;the muse&quat; in dark blue text.
Intelliware Development

Data Engineer

Toronto, Canada
As Data Engineer, you will provide hands-on expertise as it relates to data management, analytics, and business intelligence. This opportunity will allow you to utilize your unique blend of technical, software and cloud engineering experience.

Electric Mind, formerly Intelliware, is a business and technology consulting leader in providing innovative, practical solutions driven by engineering excellence. We work differently here; you will find continuous opportunities to learn, grow, and share knowledge within your team and the expert communities at Electric Mind all while delivering excellence.

While working with teams in an Agile environment, you will be:

  • Designing high quality data pipelines/architectures that are highly scalable and extensible
  • Providing guidance on data modeling, analysis, visualization, and implementation of data solutions
  • Estimating, tasking, and prototyping
  • Collaborating with cross-functional team members on software features, design and implementation
  • Participating in the end-to-end delivery of data consulting projects, ensuring completion on time, on budget, and meeting or exceeding client expectations
  • Investigating, learning and applying new technologies and ​processes
  • Clarifying requirements with team and client representatives

Want more jobs like this?

Get Data and Analytics jobs in Toronto, Canada delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.

'Must Have' Skills/Experience

  • Snowflake, Databricks, or Apache Spark experience
  • Design and implementation experience with Azure Cloud Data Services and/or AWS Cloud Data Services
  • Design and implementation experience with Master Data Management, especially customer and reference data for financial services
  • Proficiency in SQL
  • In-depth knowledge of data management, analytics, business intelligence, and related technologies
  • Growth mindset and desire to learn
  • Bachelor’s Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)

'Nice to Have' Skills/Experience

  • PowerBI or Tableau or data visualization experience
  • Talend, Apache Airflow, AWS Glue, and Azure Data Factor experience
  • Proficiency in Python or R
  • Experience in data modeling or schema design
  • Experience with Kafka or other data streaming tools
  • Financial Services industry experience
  • Sales, pre-sales, or consulting experience
  • Exposure to and enthusiasm for Agile approaches
  • Master’s Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)

For more info on Electric Mind, check out our Careers Page and Instagram.

Electric Mind is committed to diversity in the workplace. We are an inclusive employer and welcome and encourage applications from all qualified candidates. Applicants’ needs will be accommodated during our recruitment and selection process so please advise us if you require accommodation.
Client-provided location(s): Downtown Toronto, Toronto, ON, Canada
Job ID: 4aa078cf-7594-429d-997b-b61bede17924
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • HSA
    • Virtual Fitness Classes
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • Profit Sharing
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
  • Diversity and Inclusion

    • Founder led
    • Diversity, Equity, and Inclusion Program