Join RBC as a Data Engineer focused on Climate Risk and Strategy, leveraging Python and SQL skills in a collaborative workplace. Drive data modeling and analysis to support key climate initiatives.

As a member of the Retail Credit technology team, you will lead data analysis for the Climate Data Strategy. Your expertise will be pivotal in building a robust architecture for sourcing, transforming, and storing climate-related data from multiple sources. You will work closely with development and QA teams to ensure that complex requirements translate into actionable solutions.

Key Responsibilities:
• Lead data and systems analysis for climate projects
• Develop knowledge of Climate Risk Data Stores and hubs
• Design pipelines for data extraction and management




• Collaborate with business users to gather data requirements
• Create specifications and conduct advanced data analysis using AI models

Requirements:
• 5+ years as a Data Engineer or Analyst
• Strong proficiency in Python, PySpark, and SQL
• Experience in data modeling and Agile methodologies
• Excellent communication skills for stakeholder engagement
• Bachelor’s degree in a quantitative field

Contribute your data engineering skills to RBC’s pivotal climate initiatives and make a meaningful impact.
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📌 Data Engineer for Climate Strategy at RBC (Nova Scotia)
🏢 RBC
📍 Nova Scotia