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
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