Data Engineer

Global Canopy

Global Canopy is a mission-driven, data-centric organization aiming to transform market dynamics that contribute to environmental destruction. This role for a Data Engineer exists to advance their data operations, ensuring efficiency and robustness in managing and analyzing complex datasets. The team works towards improved stakeholder accountability using open-access data and cutting-edge metrics.

In this role you can expect to have the responsibilities:

• Construct data pipelines using suitable tools.
• Modify and expand cloud data infrastructure.
• Implement automated CI/CD pipelines.
• Address data-related issues and establish preventive measures.

This role comes with the following benefits:

• 36 days holiday annually with purchase option.
• 7% employer pension contribution.
• Healthcare cashback plan covering various medical expenses.
• Group Life Assurance providing a lump sum.
• Group Income Protection covering up to 75% salary for sickness.
• Employee Assistance Programme offering confidential advice.
• Access to discounts and cashback deals.

This role requires you to have:

• Experience with robust ETL pipeline creation.
• Proficiency in cloud data engineering tools.
• Strong SQL and Python skills.

You would benefit from having:

• Experience with Postgres and Python (pandas).
• Knowledge of R and Terraform for infrastructure as code.
• Familiarity with Git, GitHub actions, and AWS.
• Experience using pipeline orchestration tools like Airflow.
• Understanding of dbt or similar transformation tools.

Global Canopy champions diversity and inclusivity in their recruitment process, actively encouraging applicants from diverse backgrounds, especially from forest regions like Latin America and Southeast Asia. They are committed to minimizing recruitment barriers and provide additional support as needed.