Join RBC as a Data Engineer focused on Climate Risk and Strategy, leveraging Python and SQL skills in a cooperative environment. 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. #J-18808-Ljbffr

📌 Data Engineer for Climate Strategy at RBC (Canada)
🏢 RBC
📍 Canada