Lead Data Engineer – Hybrid in Toronto

Lead Data Engineer – Hybrid in Toronto

Toronto Full-Time 118800 - 145200 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and implement scalable data solutions while driving innovation in a hybrid work model.
  • Company: Join a forward-thinking team in Toronto focused on data excellence.
  • Benefits: Enjoy a competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make a real impact by enabling data-driven decisions across the organization.
  • Qualifications: 8+ years in software/data engineering with strong Azure and Python skills.

The predicted salary is between 118800 - 145200 $ per year.

Elevate your career as a Lead Data Engineer with our team in Toronto, offering a hybrid work model. Drive innovative data solutions and architecture in an agile environment.

This Senior/Staff Data Engineer role entails developing robust data solutions while collaborating with business partners and stakeholders.

You'll have a minimum of 8 years of experience in software and data engineering, complemented by expertise in Azure technologies including Data Factory, Databricks, and Azure Dev Ops.

Your impact will facilitate fast, data-driven decision-making across the organization.

Key

Responsibilities

  • Design and implement scalable data solutions and analytics
  • Independently develop and ship complex features from start to finish
  • Build and maintain efficient data pipelines for various needs
  • Ensure data quality and integrity within data pipelines
  • Establish Azure infrastructure for self-service analytics

Requirements

  • Minimum 8 years in software/data engineering
  • At least 2 years in a technical lead capacity
  • Strong understanding of data architecture patterns
  • Proficiency in Python and SQL, experience with Py Spark
  • Knowledge of CI/CD practices using tools like Git

Drive innovation and excellence in data engineering as part of our Toronto-based team. #J-18808-Ljbffr

Lead Data Engineer – Hybrid in Toronto employer: Bay Street Staffing

Join a forward-thinking Ontario organization that values innovation and collaboration, making it an exceptional employer for AI Engineers. With a strong focus on employee growth, you will have the opportunity to shape your own AI roadmap while working in a dynamic environment that encourages creativity and cross-functional teamwork. Enjoy a culture that prioritizes operational excellence and offers meaningful projects that drive real business impact.

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Contact Details:

Bay Street Staffing Recruitment Team

We think you need these skills to ace Lead Data Engineer – Hybrid in Toronto

Data Engineering
Azure Data Factory
Databricks
Azure DevOps
Data Architecture Patterns
Python
SQL