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About the role

  • Chef d’équipe Analytics Engineer chez Lightspeed, plateforme infonuagique de commerce mondiale. Transformation des données et leadership d’une équipe analytique pour soutenir les décisions fondées sur les données.

Responsibilities

  • Lead and guide the team in executing complex data initiatives in collaboration with the Product team
  • Promote best practices in system design, operational processes, and workflows
  • Foster a culture of continuous improvement
  • Contribute to defining and validating the roadmap with the Product team and other stakeholders
  • Track the team’s progress against deadlines
  • Identify and resolve blockers that impede delivery
  • Provide hands‑on support when necessary
  • Manage incidents within the team’s scope
  • Participate in meetings, reviews, and cross‑team design sessions
  • Share best practices and contribute to large‑scale data initiatives
  • Advocate for data quality with the team and partners
  • Mentor and coach individual contributors
  • Support professional development and contribute to performance evaluations
  • Participate in recruitment activities
  • Transform raw data into structured, accessible, and reliable datasets
  • Help define analytics engineering strategy

Requirements

  • Minimum 3–5 years of progressive experience in analytics engineering or a closely related data engineering role
  • Strong understanding of data warehousing
  • Proficiency in data modeling techniques
  • Knowledge of ETL/ELT processes
  • Demonstrated experience with data transformations and data models using Dataform or dbt
  • Preferred experience on GCP, including BigQuery, Dataform, Dataflow, and Vertex AI
  • Excellent SQL skills
  • Proficiency in at least one programming language (e.g., Python, Java, or Scala)
  • Experience in an agile development environment
  • Good knowledge of data governance and data quality
  • Experience leading or mentoring junior team members or managing projects highly desirable
  • English proficiency as a working language required
  • Disclosure of any criminal convictions and completion of a background check required as part of the hiring process

Benefits

  • Flexible work environment
  • Performance‑driven culture
  • Career‑shaping opportunities
  • Flexible paid time off
  • Remote work policies
  • Stock purchase options
  • Contributions to a retirement plan
  • Training opportunities
  • Health and wellness allowance
  • Paid volunteer time off
  • Company‑sponsored interest groups and sports teams
  • Computer purchase program to acquire a personal MacBook
  • Enhanced parental leave
  • Continuous learning opportunities
  • International mobility
  • Accommodations available on request for candidates with disabilities

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

BigQueryETLFluxGoogle Cloud PlatformJavaPythonScalaSQL

Location requirements

HybridMontrealCanada

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