Data Engineer - Snowflake - Full Time

Job summary

Build and maintain Snowflake data pipelines, data models, and ingestion processes, while optimizing warehouse performance, cost, and data quality. Collaborate with engineers, analysts, and data scientists; support governance and security; troubleshoot pipeline issues; and document solutions.

Job details

About the Role We are looking for a Snowflake Data Engineer on a Full Time basis to help build and maintain a cloud data warehouse and pipelines. This is a hands on role that involves taking ownership of moderately complex data engineering tasks, working closely with senior engineers on architecture decisions and partnering with analysts and data scientists to deliver reliable, well modelled data. Key Responsibilities Design, build and maintain ETL/ELT pipelines feeding into Snowflake Develop and optimise Snowflake data models, including star and snowflake schemas and staging/curated layers Write efficient SQL and use Snowflake features such as Streams, Tasks and Snowpipe for automation Manage data ingestion from APIs, files and databases using tools such as Fivetran, Airbyte or custom scripts Implement transformation logic using dbt or similar frameworks Monitor and optimise warehouse performance, query efficiency and credit/cost usage Implement data quality checks and basic monitoring/alerting for pipeline health Support role based access control, data governance and security within Snowflake Participate in code reviews, follow CI/CD practices and maintain version control via Git Troubleshoot pipeline failures and data quality issues, escalating complex problems as needed Document pipelines, data models and processes for team and stakeholder reference Collaborate with analysts and data scientists to understand data requirements and deliver fit for purpose datasets Technical Skills Required 5 to 7 years of experience in data engineering, including at least 2 to 3 years working directly with Snowflake Strong SQL skills and experience with relational or cloud data warehouses Understanding of dimensional data modelling and ETL/ELT design principles Experience with at least one ELT/transformation tool, dbt preferred Familiarity with a cloud platform (AWS, Azure or GCP) that Snowflake runs on Experience with Git based version control and basic CI/CD workflows Working knowledge of Python or another scripting language for automation Desirable Skills SnowPro Core Certification Experience with Snowflake native features including Streams, Tasks, Snowpipe, Time Travel and Zero Copy Cloning Familiarity with orchestration tools such as Airflow, Dagster or Snowflake Tasks Exposure to data ingestion tools such as Fivetran, Airbyte or Matillion Basic understanding of streaming data concepts Salary CAD $110,000 - $135,000 Depending on Experience

What you’ll do

Build and maintain Snowflake data pipelines, data models, and ingestion processes, while optimizing warehouse performance, cost, and data quality. Collaborate with engineers, analysts, and data scientists; support governance and security; troubleshoot pipeline issues; and document solutions.

Requirements

Requires 5–7 years of data engineering experience, including 2–3 years working directly with Snowflake, strong SQL skills, and knowledge of dimensional modeling and ETL/ELT principles. Candidates should have experience with a transformation tool such as dbt, a cloud platform, Git and basic CI/CD, and Python or another scripting language; SnowPro Core certification and Snowflake feature experience are desirable.

Listed skills

• SQL · Preferred
• Python · Preferred
• Git · Preferred
• CI/CD · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Snowflake
• SQL
• ETL/ELT Pipelines
• Data Modeling
• Dimensional Modeling
• Dbt
• Python
• Cloud Platforms
• Git
• CI/CD
• Data Ingestion
• Query Optimization
• Data Quality
• Data Governance
• Role-Based Access Control
• Pipeline Monitoring

Job areas

• Data & Analytics
• Technology
• Software
• Engineering

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