Data Engineer & Analyst – Climate Risk & Data Strategy

Aplaro Ltd; Canada; Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Total Rewards Program

Flexible benefits

Bonuses

Stock where applicable

World-class training

Job summary

RBC is seeking an experienced Data Engineer/Analyst to drive modernization of climate data risk systems. You will lead data and systems analysis across Climate Data Risk & Strategy projects, modeling data flows from multiple sources, and designing pipelines with strong governance and metadata management.

You will work with ESG & Risk Analytics teams to build data assets and calculation engines to support RBC Climate Risk disclosures, ensuring data requirements are translated into actionable

Qualifications

• 5+ years as a Data Engineer or Analyst in software development or related field
• Strong Python (Pandas), PySpark and SQL for complex data analysis
• Experience with data catalogs, data modeling, and Agile data projects
• Excellent written and verbal communication; ability to document requirements and present findings
• Bachelor’s degree in Engineering, Sciences, Technology, Computer Science, Math, Statistics, or related field

Responsibilities

• Lead data and systems analysis for Climate Data Risk & Strategy projects
• Develop knowledge of current-state data feeds for Climate Risk Data Stores and Data Hub
• Design pipelines for data extraction, transformation and storage with data lineage and governance
• Map data transformation rules to standardize feeds from multiple sources
• Collaborate with business users to elicit data requirements and demonstrate system functionality
• Create data specifications and conduct complex data analysis using AI/LLM models
• Coordinate with development and QA to validate designs and prepare UAT tests
• Work with ESG & Risk Analytics teams to build data assets and models for risk metrics

Skills

Python

Pandas

PySpark

SQL

Data modeling

Agile

Education

Bachelor’s degree in Engineering, Sciences, Technology, Computer Science, Math, Statistics, or related quantitative field

Tools

Linux

Hadoop

Hive

Spark

Job description

What is The Opportunity?

Join our Retail Credit technology team to drive the modernization of enterprise risk systems and climate data initiatives. You'll lead business and data analysis for our Climate Data Strategy and Innovation Technology portfolio—a strategic initiative to source data from multiple data sources – internal and external to RBC, build a robust storage framework, and enable advanced data modeling across the organization. This role bridges business requirements and technology delivery, ensuring climate risk and data strategy projects translate complex requirements into actionable solutions for development and QA teams.

What Will You Do?

• Lead all Data and Systems analysis activities for the Climate Data Risk & Strategy projects portfolio
• Develop detailed knowledge of current-state data feeds for Climate Risk Data Stores and Climate Data Hub, working across PCAF Asset Classes (Residential Real Estate, Commercial Real Estate, Sovereign Debt, Project Finance, Listed Equity, Corporate Bonds, Business Loans, and Unlisted Equities)
• Design and implement pipelines for data extraction, transformation, and storage while ensuring data consistency, lineage, and metadata management to support regulatory and governance needs
• Determine and map data transformation rules to standardize feeds from multiple sources into Climate Risk engines and Data Stores
• Collaborate with business users to elicit data requirements and demonstrate system functionality
• Create functional, non-functional and data specifications and conduct complex data analysis using AI/LLM models
• Partner with development and QA teams to validate design assumptions, explain requirements, and create test cases and support UAT
• Work with ESG & Risk Analytics teams to build data assets, models and calculation engines to produce Risk Metrics used in RBC Climate Risk Disclosures and to track RBC’s exposure to Physical Risk

What You Need to Succeed?

Must Have:

• 5+ years as a Data Engineer or Analyst, or in a technical/functional/consulting role in software development
• Strong proficiency in Python (Pandas), 'pySpark' and SQL for complex data analysis
• Ability with data catalogues, data modeling, and business process modeling and experience working on data projects using Agile methodologies (sourcing, standardization, and aggregation)
• Excellent written and verbal communication skills; ability to document requirements, write specifications, and present findings to business and technical stakeholders
• Bachelor’s degree in Engineering, Sciences, Technology, Computer Science, Math, Statistics, or related quantitative field

Nice to Have:

• Knowledge of climate data initiatives and ESG investment policies/frameworks for financial institutions
• Experience supporting developers with technology stacks such as Linux, Hadoop, Hive, and Spark
• Exposure to using AI/LLM models embedded in tools such as Windsurf and Github Co-Pilot - AI-powered agentic coding assistants for analytical purposes
• Experience with data in the finance, banking, or insurance industries

What’s in it for you?

• We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper.
• We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world‑class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

Job Skills

• Business Appraisals
• Business Process Modeling
• Commercial Acumen
• Communication
• Critical Thinking
• Group Problem Solving
• Interpersonal Relationship ManagementRequirements Analysis
• Resource Management
• Team Management

Additional Job Details

Address: 120 WESTERN PKY:BEDFORD City: Bedford Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-08-20

Application Deadline: 2026-09-26

Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC.

We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world.

Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life