Senior Data Engineer in Toronto

Senior Data Engineer in Toronto

Toronto Bachelor 100000 - 140000 $ / year (est.) On-site
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At a Glance

  • Tasks: Build secure and scalable data pipelines while optimising data for business intelligence.
  • Company: Leading cleantech company in Toronto focused on sustainability.
  • Benefits: Competitive salary, comprehensive benefits, and a focus on work-life balance.
  • Other info: Great opportunities for professional growth in a collaborative environment.
  • Why this job: Join a mission-driven team and make a real impact in the cleantech industry.
  • Qualifications: Bachelor's degree in software engineering and 5+ years of Python experience.

The predicted salary is between 100000 - 140000 $ per year.

A leading cleantech company in Toronto is seeking a Senior Data Engineer to implement secure and scalable data pipelines.

The ideal candidate will have a Bachelor's degree in software engineering or a related field, with over 5 years of experience using Python.

Collaborating with cross-functional teams is essential to optimize data utilization and enhance business intelligence.

The role offers a competitive salary of $100,000–$140,000 and comprehensive benefits, ensuring work-life balance and professional growth. #J-18808-Ljbffr

Senior Data Engineer in Toronto employer: Peak Power Inc

As a leading cleantech company in Toronto, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development and a commitment to work-life balance, we offer competitive salaries and comprehensive benefits that support your growth and well-being. Join us to be part of a mission-driven team dedicated to making a positive impact on the environment through cutting-edge technology.

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Contact Details:

Peak Power Inc Recruitment Team

We think you need these skills to ace Senior Data Engineer in Toronto

Data Pipeline Implementation
Python
Collaboration with Cross-Functional Teams
Data Utilization Optimization
Business Intelligence Enhancement
Software Engineering
Scalability