Data Engineer
Noibu
What You'll Do
- Design, build, and maintain ETL/ELT pipelines that unify data from Salesforce, Gong, Segment, Mixpanel, ChurnZero, and product databases into a structured, reliable data warehouse.
- Own the full software development lifecycle of ETL pipelines, including the design, development, deployment and maintenance of your code.
- Own the data modeling layer (staging, marts, dimensional models) using tools such as dbt, ensuring data is organized and queryable for analytics across the business.
- Build and maintain data quality checks, monitoring, and alerting to ensure reliability and trust in company-wide data.
- Collaborate closely with R&D and product teams to define data contracts and ensure product telemetry and event tracking are structured for downstream analytics.
- Establish and enforce data governance standards, ensuring consistency and integrity across data sources.
- Partner with stakeholders across Product, Customer Success, RevOps, Marketing, and Finance to understand business needs and ensure the data platform supports decision-making across the customer lifecycle.
- Enable teams across Noibu by creating a unified data foundation that makes customer, product, and revenue data easily accessible and reliable.
- Support downstream analytics and reporting by providing clean, well-modeled datasets that power dashboards, experimentation, and product insights.
What You Bring
- 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 (e.g., Kimball dimensional modeling).
- 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.
Who You Are
- You have 4+ years of experience building data infrastructure in a high-growth startup or fast-moving technology environment.
- You enjoy building the foundations that power analytics, rather than focusing only on dashboards and reporting.
- You are comfortable working embedded with technical teams (R&D) while partnering with business stakeholders across the company.
- You are excited to help architect and scale a company-wide data platform that supports product, customer, and revenue insights.
- You care deeply about data quality, reliability, and long-term scalability.
- You take ownership of problems end-to-end and thrive in ambiguous, fast-evolving environments.
- You are a strong communicator that is able to take semi-structured requirements and transform them into actionable steps. You are also able to communicate analytical findings to non-technical stakeholders.
90000 - 130000 CAD a year