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Lead Data Engineer

Canada's biggest bank and one of the largest in the world based on market capitalization, with 84,000+ employees serving 16 million clients in Canada, U.S. and 34 other countries.
Data
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
Finance · Enterprise SaaS

Description For Lead Data Engineer

Houseful, an RBC company, is seeking a Lead Data Engineer to join their team focused on making home ownership more accessible. This role combines fintech innovation with RBC's established presence in mortgage offerings. The position involves leading data pipeline development, working with both structured and unstructured datasets, and supporting BizOps and Data Science initiatives.

As a Lead Data Engineer, you'll be responsible for developing and maintaining data pipelines using technologies like Spark, SQL, Airflow, and Snowflake. You'll work in a collaborative environment that values continuous learning and customer-focused solutions. The role requires expertise in cloud platforms, particularly AWS, and strong programming skills in Java/Kotlin and Python.

The position offers the opportunity to work on impactful technical challenges while helping customers make important life decisions regarding home ownership. You'll be part of a dynamic team that combines technical expertise with business acumen, regularly presenting findings to stakeholders and contributing to the company's mission of making home ownership more accessible.

RBC provides a comprehensive benefits package, flexible work arrangements, and a collaborative culture that supports professional growth. The company's commitment to inclusion and diversity creates an environment where different perspectives are valued and contribute to innovative solutions.

This role is perfect for a seasoned data engineer who wants to make a meaningful impact while working with cutting-edge technologies in a stable, well-established financial institution that's embracing digital transformation.

Last updated 38 minutes ago

Responsibilities For Lead Data Engineer

  • Provide technical expertise in Extraction, Loading, and Transformation of structured and unstructured datasets
  • Maintain long-running services, APIs, and data pipelines, including monitoring, logging, and resource management
  • Help develop BizOps and Data Science products and algorithms
  • Support projects with thorough documentation
  • Demo results and findings to internal and external business stakeholders

Requirements For Lead Data Engineer

Java
Python
Kotlin
  • Experience writing robust data pipelines using Spark, SQL, Airflow and Snowflake
  • Experience with Java or JVM-based programming language such as Kotlin
  • Experience developing on a cloud platform (AWS, GCP, Azure)
  • Experience with Python and shell scripting in Linux environment
  • Excellent written and oral communication skills

Benefits For Lead Data Engineer

Medical Insurance
401k
Equity
  • Comprehensive Total Rewards Program including bonuses and flexible benefits
  • Competitive compensation
  • Stock options where applicable
  • World-class training program in financial services
  • Flexible work/life balance options
  • Career development and coaching

Interested in this job?

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