Senior Analytics Engineer

Posted 26 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: Canada

💸 Salary: 150500.0 - 188000.0 CAN per year

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLGitSnowflakeAirflowCI/CDData modeling

5+ years experience in analytics or data engineering, with a strong focus on building scalable data models
Deep fluency in SQL and dimensional modeling (star schema, slowly changing dimensions, surrogate keys, etc.)
3+ years experience working in dbt, ideally in a production environment with CI/CD and testing as a well established core principle
Comfortable working across the full stack: Sigma, dbt, Snowflake, Airflow, Python (or similar tools)
Strong stakeholder management skills, including experience presenting to executives or C-level leaders

Own and evolve core data models that drive company-wide reporting, metrics, and analysis
Build robust, maintainable dbt models that form the foundation of our analytics layer
Collaborate with cross-functional teams to define and model key business metrics
Work across our stack (Snowflake, Airflow, dbt, Python, Sigma) to deliver clean and trustworthy data products
Help define, enforce, and improve standards for documentation, testing, observability, and performance
Partner with stakeholders—including senior leaders—to understand data needs and ensure solutions align with business goals
Mentor others in data modeling and best practices

Posted 25 days ago

📍 All over the world

🧭 Contract

🔧 Requirements

You have proven experience as an Analytics Engineer, Data Engineer, or in a similar role.
You possess strong SQL skills and have experience working with modern data warehouses like Snowflake, BigQuery, or Redshift.
You have hands-on experience building data pipelines using tools such as dbt, Airflow, or Census.
You have strong data modelling skills.

💡 Responsibilities

Build robust, scalable pipelines to onboard new cost data providers into the Cloud Costs platform.
Design and implement methodologies to accurately model, allocate, and expose cloud and third-party spend to internal teams.
Partner with FinOps engineers and stakeholders to deliver high-impact cost visibility features that unlock real savings opportunities.
Develop reusable analytics components and dbt models to streamline cost data integration and reallocation.
Rapidly iterate on solutions to meet short-term project milestones while setting the stage for long-term scalability.
Collaborate closely with cross-functional teams to ensure alignment, reduce duplication, and drive shared success.

SQLCloud ComputingSnowflakeAirflowData engineeringData visualizationData modelingData analytics

Posted 25 days ago