Hybrid Data Engineer

Posted 1 hour ago

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About the role

  • Data Scientist developing customer-focused data products to improve customer journey at Noibu. Collaborating with teams to analyze feedback data and shape analytics strategies.

Responsibilities

  • Own the end-to-end development of customer-focused data products
  • Translate business questions from Go-To-Market (Sales, Marketing and CS) and Product partners into clear requirements
  • Explore product usage and feedback data and turn findings into dashboards, reports, and recommendations
  • Advocate for data quality and performance as you shape the long-term analytics strategy around customers and their lifecycle
  • Collaborate closely with R&D and product teams to define data contracts and ensure product telemetry and event tracking are structured for downstream analytics

Requirements

  • 4+ years of experience building data infrastructure in a high-growth startup or fast-moving technology environment
  • Strong experience designing and maintaining production-grade data pipelines in a modern data stack
  • Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
  • Strong proficiency with SQL and at least one programming language (e.g., Python, Scala)
  • Deep experience with data transformation frameworks (dbt) and modern data modeling practices
  • Experience with data orchestration tools such as Airflow or Dagster to manage and monitor pipelines
  • Experience integrating and unifying data from multiple SaaS platforms and product data sources
  • Experience working in SaaS or technology environments, especially with product analytics and customer lifecycle data.

Benefits

  • Unlimited Time Off & Flexible Working Style
  • Health benefits from Day 1
  • Company-wide holiday shutdown yearly
  • Monthly Company-Wide & Team-Specific Socials
  • Annual Holiday Party

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

CA$90,000 - CA$130,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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